SearchServiceClient (stable:2025-09-01)

2025/12/05 • 31 new methods

DataSources_CreateOrUpdate (new)
Description :  Creates a new datasource or updates a datasource if it already exists.
Reference :  Link ¶

⚼ Request

PUT:  /datasources('{dataSourceName}')
{
dataSourceName:
{
Description: The name of the datasource to create or update. ,
Required: True ,
}
string ,
dataSource:
{
Description: The definition of the datasource to create or update. ,
Required: True ,
}
{
name:
{
Description: The name of the datasource. ,
Required: True ,
}
string ,
description:
{
Description: The description of the datasource. ,
Required: False ,
}
string ,
type:
{
Description: The type of the datasource. ,
Enum:
{
azuresql: Definition of an Azure SQL datasource whose credentials can either be a standard SQL connection string or the ResourceId of the SQL resource. The container property refers to the table or view to be indexed. Query parameter is not supported for this datasource. ,
cosmosdb: Definition of an CosmosDB datasource whose credentials can either be a formatted connection string containing details for AccountEndpoint, AccountKey, and Database for a key based connection or details for ResourceID and ApiKind for keyless connection. The container property refers to cosmosdb collection to be indexed and the optional query property refers to a SQL query on the collection. ,
azureblob: Definition of an Azure Blob datasource whose credentials can either be a storage connection string or the ResourceId of the storage account. The container property refers to the blob container to be indexed and the optional query property refers to a specific sub-folder in the container. ,
azuretable: Definition of an Azure Table datasource whose credentials can either be a table connection string or the ResourceId of the storage account. The container property refers to the blob container to be indexed and the optional query property can be used to filter rows. ,
mysql: Definition of an Azure SQL datasource whose credentials can either be a standard ADO.NET formatted SQL connection string or the ResourceId of the SQL resource. The container property refers to the table or view to be indexed. Query parameter is not supported for this datasource. ,
adlsgen2: Definition of an Azure ADLS Gen 2 datasource whose credentials can either be a storage connection string or the ResourceId of the storage account. The container property refers to the blob container to be indexed and the optional query property refers to a specific sub-folder in the container. ,
onelake: Definition of an Microsoft Fabric Onelake datasource whose credentials can either be the Fabric workspace GUID or a workspace FQDN. The container property refers to the lakehouse GUID and the optional query property refers to folders or shortcuts in the lakehouse. ,
}
,
Required: True ,
}
enum ,
credentials:
{
Description: Credentials for the datasource. ,
Required: True ,
}
{
connectionString:
{
Description: The connection string for the datasource. For Azure SQL, Azure Blob, ADLS Gen 2 and Azure Table, this would be the connection string or resource ID if using managed identity. For CosmosDB this would be a formatted connection string specifying ApiKind or resource ID for managed identity. For Onelake files, connection string would be either the workspace guid or workspace FQDN; Onelake only supports managed identity connections. Set to `` (with brackets) if you don't want the connection string updated. Set to `` if you want to remove the connection string value from the datasource. ,
Required: False ,
}
string ,
}
,
container:
{
Description: The data container for the datasource. ,
Required: True ,
}
{
name:
{
Description: The name of the table or view (for Azure SQL datasource), collection (for CosmosDB datasource), container (for Azure Blob and ADLS Gen 2 datasources), Azure Table (for Azure Table datasource), or lakehouse (for Onelake datasource) that will be indexed. ,
Required: True ,
}
string ,
query:
{
Description: A query that is applied to this data container. For CosmosDB datasource query can flatten and filter data. For Azure Blob and ADLS Gen 2 query can filter by folders. For Azure Table query can filter by row data. For Onelake query can filter by folder or shortcut. Not supported by Azure SQL datasources. ,
Required: False ,
}
string ,
}
,
dataChangeDetectionPolicy:
{
Description: The data change detection policy for the datasource. ,
Required: False ,
}
{
@odata.type:
{
Description: A URI fragment specifying the type of data change detection policy. ,
Required: True ,
}
string ,
}
,
dataDeletionDetectionPolicy:
{
Description: The data deletion detection policy for the datasource. ,
Required: False ,
}
{
@odata.type:
{
Description: A URI fragment specifying the type of data deletion detection policy. ,
Required: True ,
}
string ,
}
,
@odata.etag:
{
Description: The ETag of the data source. ,
Required: False ,
}
string ,
encryptionKey:
{
Description: A description of an encryption key that you create in Azure Key Vault. This key is used to provide an additional level of encryption-at-rest for your datasource definition when you want full assurance that no one, not even Microsoft, can decrypt your data source definition. Once you have encrypted your data source definition, it will always remain encrypted. The search service will ignore attempts to set this property to null. You can change this property as needed if you want to rotate your encryption key; Your datasource definition will be unaffected. Encryption with customer-managed keys is not available for free search services, and is only available for paid services created on or after January 1, 2019. ,
Required: False ,
}
{
keyVaultKeyName:
{
Description: The name of your Azure Key Vault key to be used to encrypt your data at rest. ,
Required: True ,
}
string ,
keyVaultKeyVersion:
{
Description: The version of your Azure Key Vault key to be used to encrypt your data at rest. ,
Required: True ,
}
string ,
keyVaultUri:
{
Description: The URI of your Azure Key Vault, also referred to as DNS name, that contains the key to be used to encrypt your data at rest. An example URI might be `https://my-keyvault-name.vault.azure.net`. ,
Required: True ,
}
string ,
accessCredentials:
{
Description: Optional Azure Active Directory credentials used for accessing your Azure Key Vault. Not required if using managed identity instead. ,
Required: False ,
}
{
applicationId:
{
Description: An AAD Application ID that was granted the required access permissions to the Azure Key Vault that is to be used when encrypting your data at rest. The Application ID should not be confused with the Object ID for your AAD Application. ,
Required: True ,
}
string ,
applicationSecret:
{
Description: The authentication key of the specified AAD application. ,
Required: False ,
}
string ,
}
,
}
,
}
,
x-ms-client-request-id:
{
Description: The tracking ID sent with the request to help with debugging. ,
Format: uuid ,
Required: False ,
}
string ,
If-Match:
{
Description: Defines the If-Match condition. The operation will be performed only if the ETag on the server matches this value. ,
Required: False ,
}
string ,
If-None-Match:
{
Description: Defines the If-None-Match condition. The operation will be performed only if the ETag on the server does not match this value. ,
Required: False ,
}
string ,
Prefer:
{
Description: For HTTP PUT requests, instructs the service to return the created/updated resource on success. ,
Required: True ,
}
string ,
api-version:
{
Description: Client Api Version. ,
Required: True ,
}
string ,
}

⚐ Response (200)

{
name:
{
Description: The name of the datasource. ,
Required: True ,
}
string ,
description:
{
Description: The description of the datasource. ,
Required: False ,
}
string ,
type:
{
Description: The type of the datasource. ,
Enum:
{
azuresql: Definition of an Azure SQL datasource whose credentials can either be a standard SQL connection string or the ResourceId of the SQL resource. The container property refers to the table or view to be indexed. Query parameter is not supported for this datasource. ,
cosmosdb: Definition of an CosmosDB datasource whose credentials can either be a formatted connection string containing details for AccountEndpoint, AccountKey, and Database for a key based connection or details for ResourceID and ApiKind for keyless connection. The container property refers to cosmosdb collection to be indexed and the optional query property refers to a SQL query on the collection. ,
azureblob: Definition of an Azure Blob datasource whose credentials can either be a storage connection string or the ResourceId of the storage account. The container property refers to the blob container to be indexed and the optional query property refers to a specific sub-folder in the container. ,
azuretable: Definition of an Azure Table datasource whose credentials can either be a table connection string or the ResourceId of the storage account. The container property refers to the blob container to be indexed and the optional query property can be used to filter rows. ,
mysql: Definition of an Azure SQL datasource whose credentials can either be a standard ADO.NET formatted SQL connection string or the ResourceId of the SQL resource. The container property refers to the table or view to be indexed. Query parameter is not supported for this datasource. ,
adlsgen2: Definition of an Azure ADLS Gen 2 datasource whose credentials can either be a storage connection string or the ResourceId of the storage account. The container property refers to the blob container to be indexed and the optional query property refers to a specific sub-folder in the container. ,
onelake: Definition of an Microsoft Fabric Onelake datasource whose credentials can either be the Fabric workspace GUID or a workspace FQDN. The container property refers to the lakehouse GUID and the optional query property refers to folders or shortcuts in the lakehouse. ,
}
,
Required: True ,
}
enum ,
credentials:
{
Description: Credentials for the datasource. ,
Required: True ,
}
{
connectionString:
{
Description: The connection string for the datasource. For Azure SQL, Azure Blob, ADLS Gen 2 and Azure Table, this would be the connection string or resource ID if using managed identity. For CosmosDB this would be a formatted connection string specifying ApiKind or resource ID for managed identity. For Onelake files, connection string would be either the workspace guid or workspace FQDN; Onelake only supports managed identity connections. Set to `` (with brackets) if you don't want the connection string updated. Set to `` if you want to remove the connection string value from the datasource. ,
Required: False ,
}
string ,
}
,
container:
{
Description: The data container for the datasource. ,
Required: True ,
}
{
name:
{
Description: The name of the table or view (for Azure SQL datasource), collection (for CosmosDB datasource), container (for Azure Blob and ADLS Gen 2 datasources), Azure Table (for Azure Table datasource), or lakehouse (for Onelake datasource) that will be indexed. ,
Required: True ,
}
string ,
query:
{
Description: A query that is applied to this data container. For CosmosDB datasource query can flatten and filter data. For Azure Blob and ADLS Gen 2 query can filter by folders. For Azure Table query can filter by row data. For Onelake query can filter by folder or shortcut. Not supported by Azure SQL datasources. ,
Required: False ,
}
string ,
}
,
dataChangeDetectionPolicy:
{
Description: The data change detection policy for the datasource. ,
Required: False ,
}
{
@odata.type:
{
Description: A URI fragment specifying the type of data change detection policy. ,
Required: True ,
}
string ,
}
,
dataDeletionDetectionPolicy:
{
Description: The data deletion detection policy for the datasource. ,
Required: False ,
}
{
@odata.type:
{
Description: A URI fragment specifying the type of data deletion detection policy. ,
Required: True ,
}
string ,
}
,
@odata.etag:
{
Description: The ETag of the data source. ,
Required: False ,
}
string ,
encryptionKey:
{
Description: A description of an encryption key that you create in Azure Key Vault. This key is used to provide an additional level of encryption-at-rest for your datasource definition when you want full assurance that no one, not even Microsoft, can decrypt your data source definition. Once you have encrypted your data source definition, it will always remain encrypted. The search service will ignore attempts to set this property to null. You can change this property as needed if you want to rotate your encryption key; Your datasource definition will be unaffected. Encryption with customer-managed keys is not available for free search services, and is only available for paid services created on or after January 1, 2019. ,
Required: False ,
}
{
keyVaultKeyName:
{
Description: The name of your Azure Key Vault key to be used to encrypt your data at rest. ,
Required: True ,
}
string ,
keyVaultKeyVersion:
{
Description: The version of your Azure Key Vault key to be used to encrypt your data at rest. ,
Required: True ,
}
string ,
keyVaultUri:
{
Description: The URI of your Azure Key Vault, also referred to as DNS name, that contains the key to be used to encrypt your data at rest. An example URI might be `https://my-keyvault-name.vault.azure.net`. ,
Required: True ,
}
string ,
accessCredentials:
{
Description: Optional Azure Active Directory credentials used for accessing your Azure Key Vault. Not required if using managed identity instead. ,
Required: False ,
}
{
applicationId:
{
Description: An AAD Application ID that was granted the required access permissions to the Azure Key Vault that is to be used when encrypting your data at rest. The Application ID should not be confused with the Object ID for your AAD Application. ,
Required: True ,
}
string ,
applicationSecret:
{
Description: The authentication key of the specified AAD application. ,
Required: False ,
}
string ,
}
,
}
,
}

⚐ Response (201)

{
name:
{
Description: The name of the datasource. ,
Required: True ,
}
string ,
description:
{
Description: The description of the datasource. ,
Required: False ,
}
string ,
type:
{
Description: The type of the datasource. ,
Enum:
{
azuresql: Definition of an Azure SQL datasource whose credentials can either be a standard SQL connection string or the ResourceId of the SQL resource. The container property refers to the table or view to be indexed. Query parameter is not supported for this datasource. ,
cosmosdb: Definition of an CosmosDB datasource whose credentials can either be a formatted connection string containing details for AccountEndpoint, AccountKey, and Database for a key based connection or details for ResourceID and ApiKind for keyless connection. The container property refers to cosmosdb collection to be indexed and the optional query property refers to a SQL query on the collection. ,
azureblob: Definition of an Azure Blob datasource whose credentials can either be a storage connection string or the ResourceId of the storage account. The container property refers to the blob container to be indexed and the optional query property refers to a specific sub-folder in the container. ,
azuretable: Definition of an Azure Table datasource whose credentials can either be a table connection string or the ResourceId of the storage account. The container property refers to the blob container to be indexed and the optional query property can be used to filter rows. ,
mysql: Definition of an Azure SQL datasource whose credentials can either be a standard ADO.NET formatted SQL connection string or the ResourceId of the SQL resource. The container property refers to the table or view to be indexed. Query parameter is not supported for this datasource. ,
adlsgen2: Definition of an Azure ADLS Gen 2 datasource whose credentials can either be a storage connection string or the ResourceId of the storage account. The container property refers to the blob container to be indexed and the optional query property refers to a specific sub-folder in the container. ,
onelake: Definition of an Microsoft Fabric Onelake datasource whose credentials can either be the Fabric workspace GUID or a workspace FQDN. The container property refers to the lakehouse GUID and the optional query property refers to folders or shortcuts in the lakehouse. ,
}
,
Required: True ,
}
enum ,
credentials:
{
Description: Credentials for the datasource. ,
Required: True ,
}
{
connectionString:
{
Description: The connection string for the datasource. For Azure SQL, Azure Blob, ADLS Gen 2 and Azure Table, this would be the connection string or resource ID if using managed identity. For CosmosDB this would be a formatted connection string specifying ApiKind or resource ID for managed identity. For Onelake files, connection string would be either the workspace guid or workspace FQDN; Onelake only supports managed identity connections. Set to `` (with brackets) if you don't want the connection string updated. Set to `` if you want to remove the connection string value from the datasource. ,
Required: False ,
}
string ,
}
,
container:
{
Description: The data container for the datasource. ,
Required: True ,
}
{
name:
{
Description: The name of the table or view (for Azure SQL datasource), collection (for CosmosDB datasource), container (for Azure Blob and ADLS Gen 2 datasources), Azure Table (for Azure Table datasource), or lakehouse (for Onelake datasource) that will be indexed. ,
Required: True ,
}
string ,
query:
{
Description: A query that is applied to this data container. For CosmosDB datasource query can flatten and filter data. For Azure Blob and ADLS Gen 2 query can filter by folders. For Azure Table query can filter by row data. For Onelake query can filter by folder or shortcut. Not supported by Azure SQL datasources. ,
Required: False ,
}
string ,
}
,
dataChangeDetectionPolicy:
{
Description: The data change detection policy for the datasource. ,
Required: False ,
}
{
@odata.type:
{
Description: A URI fragment specifying the type of data change detection policy. ,
Required: True ,
}
string ,
}
,
dataDeletionDetectionPolicy:
{
Description: The data deletion detection policy for the datasource. ,
Required: False ,
}
{
@odata.type:
{
Description: A URI fragment specifying the type of data deletion detection policy. ,
Required: True ,
}
string ,
}
,
@odata.etag:
{
Description: The ETag of the data source. ,
Required: False ,
}
string ,
encryptionKey:
{
Description: A description of an encryption key that you create in Azure Key Vault. This key is used to provide an additional level of encryption-at-rest for your datasource definition when you want full assurance that no one, not even Microsoft, can decrypt your data source definition. Once you have encrypted your data source definition, it will always remain encrypted. The search service will ignore attempts to set this property to null. You can change this property as needed if you want to rotate your encryption key; Your datasource definition will be unaffected. Encryption with customer-managed keys is not available for free search services, and is only available for paid services created on or after January 1, 2019. ,
Required: False ,
}
{
keyVaultKeyName:
{
Description: The name of your Azure Key Vault key to be used to encrypt your data at rest. ,
Required: True ,
}
string ,
keyVaultKeyVersion:
{
Description: The version of your Azure Key Vault key to be used to encrypt your data at rest. ,
Required: True ,
}
string ,
keyVaultUri:
{
Description: The URI of your Azure Key Vault, also referred to as DNS name, that contains the key to be used to encrypt your data at rest. An example URI might be `https://my-keyvault-name.vault.azure.net`. ,
Required: True ,
}
string ,
accessCredentials:
{
Description: Optional Azure Active Directory credentials used for accessing your Azure Key Vault. Not required if using managed identity instead. ,
Required: False ,
}
{
applicationId:
{
Description: An AAD Application ID that was granted the required access permissions to the Azure Key Vault that is to be used when encrypting your data at rest. The Application ID should not be confused with the Object ID for your AAD Application. ,
Required: True ,
}
string ,
applicationSecret:
{
Description: The authentication key of the specified AAD application. ,
Required: False ,
}
string ,
}
,
}
,
}

⚐ Response (default)

{
error:
{
Description: The error object. ,
Required: False ,
}
{
code:
{
Description: The error code. ,
Required: False ,
}
string ,
message:
{
Description: The error message. ,
Required: False ,
}
string ,
target:
{
Description: The error target. ,
Required: False ,
}
string ,
details:
{
Description: The error details. ,
Required: False ,
}
[
string ,
]
,
additionalInfo:
{
Description: The error additional info. ,
Required: False ,
}
[
{
type:
{
Description: The additional info type. ,
Required: False ,
}
string ,
info:
{
Description: The additional info. ,
Required: False ,
}
object ,
}
,
]
,
}
,
}
DataSources_Delete (new)
Description :  Deletes a datasource.
Reference :  Link ¶

⚼ Request

DELETE:  /datasources('{dataSourceName}')
{
dataSourceName:
{
Description: The name of the datasource to delete. ,
Required: True ,
}
string ,
x-ms-client-request-id:
{
Description: The tracking ID sent with the request to help with debugging. ,
Format: uuid ,
Required: False ,
}
string ,
If-Match:
{
Description: Defines the If-Match condition. The operation will be performed only if the ETag on the server matches this value. ,
Required: False ,
}
string ,
If-None-Match:
{
Description: Defines the If-None-Match condition. The operation will be performed only if the ETag on the server does not match this value. ,
Required: False ,
}
string ,
api-version:
{
Description: Client Api Version. ,
Required: True ,
}
string ,
}

⚐ Response (204)

{}

⚐ Response (404)

{}

⚐ Response (default)

{
error:
{
Description: The error object. ,
Required: False ,
}
{
code:
{
Description: The error code. ,
Required: False ,
}
string ,
message:
{
Description: The error message. ,
Required: False ,
}
string ,
target:
{
Description: The error target. ,
Required: False ,
}
string ,
details:
{
Description: The error details. ,
Required: False ,
}
[
string ,
]
,
additionalInfo:
{
Description: The error additional info. ,
Required: False ,
}
[
{
type:
{
Description: The additional info type. ,
Required: False ,
}
string ,
info:
{
Description: The additional info. ,
Required: False ,
}
object ,
}
,
]
,
}
,
}
DataSources_Get (new)
Description :  Retrieves a datasource definition.
Reference :  Link ¶

⚼ Request

GET:  /datasources('{dataSourceName}')
{
dataSourceName:
{
Description: The name of the datasource to retrieve. ,
Required: True ,
}
string ,
x-ms-client-request-id:
{
Description: The tracking ID sent with the request to help with debugging. ,
Format: uuid ,
Required: False ,
}
string ,
api-version:
{
Description: Client Api Version. ,
Required: True ,
}
string ,
}

⚐ Response (200)

{
name:
{
Description: The name of the datasource. ,
Required: True ,
}
string ,
description:
{
Description: The description of the datasource. ,
Required: False ,
}
string ,
type:
{
Description: The type of the datasource. ,
Enum:
{
azuresql: Definition of an Azure SQL datasource whose credentials can either be a standard SQL connection string or the ResourceId of the SQL resource. The container property refers to the table or view to be indexed. Query parameter is not supported for this datasource. ,
cosmosdb: Definition of an CosmosDB datasource whose credentials can either be a formatted connection string containing details for AccountEndpoint, AccountKey, and Database for a key based connection or details for ResourceID and ApiKind for keyless connection. The container property refers to cosmosdb collection to be indexed and the optional query property refers to a SQL query on the collection. ,
azureblob: Definition of an Azure Blob datasource whose credentials can either be a storage connection string or the ResourceId of the storage account. The container property refers to the blob container to be indexed and the optional query property refers to a specific sub-folder in the container. ,
azuretable: Definition of an Azure Table datasource whose credentials can either be a table connection string or the ResourceId of the storage account. The container property refers to the blob container to be indexed and the optional query property can be used to filter rows. ,
mysql: Definition of an Azure SQL datasource whose credentials can either be a standard ADO.NET formatted SQL connection string or the ResourceId of the SQL resource. The container property refers to the table or view to be indexed. Query parameter is not supported for this datasource. ,
adlsgen2: Definition of an Azure ADLS Gen 2 datasource whose credentials can either be a storage connection string or the ResourceId of the storage account. The container property refers to the blob container to be indexed and the optional query property refers to a specific sub-folder in the container. ,
onelake: Definition of an Microsoft Fabric Onelake datasource whose credentials can either be the Fabric workspace GUID or a workspace FQDN. The container property refers to the lakehouse GUID and the optional query property refers to folders or shortcuts in the lakehouse. ,
}
,
Required: True ,
}
enum ,
credentials:
{
Description: Credentials for the datasource. ,
Required: True ,
}
{
connectionString:
{
Description: The connection string for the datasource. For Azure SQL, Azure Blob, ADLS Gen 2 and Azure Table, this would be the connection string or resource ID if using managed identity. For CosmosDB this would be a formatted connection string specifying ApiKind or resource ID for managed identity. For Onelake files, connection string would be either the workspace guid or workspace FQDN; Onelake only supports managed identity connections. Set to `` (with brackets) if you don't want the connection string updated. Set to `` if you want to remove the connection string value from the datasource. ,
Required: False ,
}
string ,
}
,
container:
{
Description: The data container for the datasource. ,
Required: True ,
}
{
name:
{
Description: The name of the table or view (for Azure SQL datasource), collection (for CosmosDB datasource), container (for Azure Blob and ADLS Gen 2 datasources), Azure Table (for Azure Table datasource), or lakehouse (for Onelake datasource) that will be indexed. ,
Required: True ,
}
string ,
query:
{
Description: A query that is applied to this data container. For CosmosDB datasource query can flatten and filter data. For Azure Blob and ADLS Gen 2 query can filter by folders. For Azure Table query can filter by row data. For Onelake query can filter by folder or shortcut. Not supported by Azure SQL datasources. ,
Required: False ,
}
string ,
}
,
dataChangeDetectionPolicy:
{
Description: The data change detection policy for the datasource. ,
Required: False ,
}
{
@odata.type:
{
Description: A URI fragment specifying the type of data change detection policy. ,
Required: True ,
}
string ,
}
,
dataDeletionDetectionPolicy:
{
Description: The data deletion detection policy for the datasource. ,
Required: False ,
}
{
@odata.type:
{
Description: A URI fragment specifying the type of data deletion detection policy. ,
Required: True ,
}
string ,
}
,
@odata.etag:
{
Description: The ETag of the data source. ,
Required: False ,
}
string ,
encryptionKey:
{
Description: A description of an encryption key that you create in Azure Key Vault. This key is used to provide an additional level of encryption-at-rest for your datasource definition when you want full assurance that no one, not even Microsoft, can decrypt your data source definition. Once you have encrypted your data source definition, it will always remain encrypted. The search service will ignore attempts to set this property to null. You can change this property as needed if you want to rotate your encryption key; Your datasource definition will be unaffected. Encryption with customer-managed keys is not available for free search services, and is only available for paid services created on or after January 1, 2019. ,
Required: False ,
}
{
keyVaultKeyName:
{
Description: The name of your Azure Key Vault key to be used to encrypt your data at rest. ,
Required: True ,
}
string ,
keyVaultKeyVersion:
{
Description: The version of your Azure Key Vault key to be used to encrypt your data at rest. ,
Required: True ,
}
string ,
keyVaultUri:
{
Description: The URI of your Azure Key Vault, also referred to as DNS name, that contains the key to be used to encrypt your data at rest. An example URI might be `https://my-keyvault-name.vault.azure.net`. ,
Required: True ,
}
string ,
accessCredentials:
{
Description: Optional Azure Active Directory credentials used for accessing your Azure Key Vault. Not required if using managed identity instead. ,
Required: False ,
}
{
applicationId:
{
Description: An AAD Application ID that was granted the required access permissions to the Azure Key Vault that is to be used when encrypting your data at rest. The Application ID should not be confused with the Object ID for your AAD Application. ,
Required: True ,
}
string ,
applicationSecret:
{
Description: The authentication key of the specified AAD application. ,
Required: False ,
}
string ,
}
,
}
,
}

⚐ Response (default)

{
error:
{
Description: The error object. ,
Required: False ,
}
{
code:
{
Description: The error code. ,
Required: False ,
}
string ,
message:
{
Description: The error message. ,
Required: False ,
}
string ,
target:
{
Description: The error target. ,
Required: False ,
}
string ,
details:
{
Description: The error details. ,
Required: False ,
}
[
string ,
]
,
additionalInfo:
{
Description: The error additional info. ,
Required: False ,
}
[
{
type:
{
Description: The additional info type. ,
Required: False ,
}
string ,
info:
{
Description: The additional info. ,
Required: False ,
}
object ,
}
,
]
,
}
,
}
DataSources_List (new)
Description :  Lists all datasources available for a search service.
Reference :  Link ¶

⚼ Request

GET:  /datasources
{
$select:
{
Description: Selects which top-level properties of the data sources to retrieve. Specified as a comma-separated list of JSON property names, or '*' for all properties. The default is all properties. ,
Required: False ,
}
string ,
x-ms-client-request-id:
{
Description: The tracking ID sent with the request to help with debugging. ,
Format: uuid ,
Required: False ,
}
string ,
api-version:
{
Description: Client Api Version. ,
Required: True ,
}
string ,
}

⚐ Response (200)

{
value:
{
Description: The datasources in the Search service. ,
Required: True ,
}
[
{
name:
{
Description: The name of the datasource. ,
Required: True ,
}
string ,
description:
{
Description: The description of the datasource. ,
Required: False ,
}
string ,
type:
{
Description: The type of the datasource. ,
Enum:
{
azuresql: Definition of an Azure SQL datasource whose credentials can either be a standard SQL connection string or the ResourceId of the SQL resource. The container property refers to the table or view to be indexed. Query parameter is not supported for this datasource. ,
cosmosdb: Definition of an CosmosDB datasource whose credentials can either be a formatted connection string containing details for AccountEndpoint, AccountKey, and Database for a key based connection or details for ResourceID and ApiKind for keyless connection. The container property refers to cosmosdb collection to be indexed and the optional query property refers to a SQL query on the collection. ,
azureblob: Definition of an Azure Blob datasource whose credentials can either be a storage connection string or the ResourceId of the storage account. The container property refers to the blob container to be indexed and the optional query property refers to a specific sub-folder in the container. ,
azuretable: Definition of an Azure Table datasource whose credentials can either be a table connection string or the ResourceId of the storage account. The container property refers to the blob container to be indexed and the optional query property can be used to filter rows. ,
mysql: Definition of an Azure SQL datasource whose credentials can either be a standard ADO.NET formatted SQL connection string or the ResourceId of the SQL resource. The container property refers to the table or view to be indexed. Query parameter is not supported for this datasource. ,
adlsgen2: Definition of an Azure ADLS Gen 2 datasource whose credentials can either be a storage connection string or the ResourceId of the storage account. The container property refers to the blob container to be indexed and the optional query property refers to a specific sub-folder in the container. ,
onelake: Definition of an Microsoft Fabric Onelake datasource whose credentials can either be the Fabric workspace GUID or a workspace FQDN. The container property refers to the lakehouse GUID and the optional query property refers to folders or shortcuts in the lakehouse. ,
}
,
Required: True ,
}
enum ,
credentials:
{
Description: Credentials for the datasource. ,
Required: True ,
}
{
connectionString:
{
Description: The connection string for the datasource. For Azure SQL, Azure Blob, ADLS Gen 2 and Azure Table, this would be the connection string or resource ID if using managed identity. For CosmosDB this would be a formatted connection string specifying ApiKind or resource ID for managed identity. For Onelake files, connection string would be either the workspace guid or workspace FQDN; Onelake only supports managed identity connections. Set to `` (with brackets) if you don't want the connection string updated. Set to `` if you want to remove the connection string value from the datasource. ,
Required: False ,
}
string ,
}
,
container:
{
Description: The data container for the datasource. ,
Required: True ,
}
{
name:
{
Description: The name of the table or view (for Azure SQL datasource), collection (for CosmosDB datasource), container (for Azure Blob and ADLS Gen 2 datasources), Azure Table (for Azure Table datasource), or lakehouse (for Onelake datasource) that will be indexed. ,
Required: True ,
}
string ,
query:
{
Description: A query that is applied to this data container. For CosmosDB datasource query can flatten and filter data. For Azure Blob and ADLS Gen 2 query can filter by folders. For Azure Table query can filter by row data. For Onelake query can filter by folder or shortcut. Not supported by Azure SQL datasources. ,
Required: False ,
}
string ,
}
,
dataChangeDetectionPolicy:
{
Description: The data change detection policy for the datasource. ,
Required: False ,
}
{
@odata.type:
{
Description: A URI fragment specifying the type of data change detection policy. ,
Required: True ,
}
string ,
}
,
dataDeletionDetectionPolicy:
{
Description: The data deletion detection policy for the datasource. ,
Required: False ,
}
{
@odata.type:
{
Description: A URI fragment specifying the type of data deletion detection policy. ,
Required: True ,
}
string ,
}
,
@odata.etag:
{
Description: The ETag of the data source. ,
Required: False ,
}
string ,
encryptionKey:
{
Description: A description of an encryption key that you create in Azure Key Vault. This key is used to provide an additional level of encryption-at-rest for your datasource definition when you want full assurance that no one, not even Microsoft, can decrypt your data source definition. Once you have encrypted your data source definition, it will always remain encrypted. The search service will ignore attempts to set this property to null. You can change this property as needed if you want to rotate your encryption key; Your datasource definition will be unaffected. Encryption with customer-managed keys is not available for free search services, and is only available for paid services created on or after January 1, 2019. ,
Required: False ,
}
{
keyVaultKeyName:
{
Description: The name of your Azure Key Vault key to be used to encrypt your data at rest. ,
Required: True ,
}
string ,
keyVaultKeyVersion:
{
Description: The version of your Azure Key Vault key to be used to encrypt your data at rest. ,
Required: True ,
}
string ,
keyVaultUri:
{
Description: The URI of your Azure Key Vault, also referred to as DNS name, that contains the key to be used to encrypt your data at rest. An example URI might be `https://my-keyvault-name.vault.azure.net`. ,
Required: True ,
}
string ,
accessCredentials:
{
Description: Optional Azure Active Directory credentials used for accessing your Azure Key Vault. Not required if using managed identity instead. ,
Required: False ,
}
{
applicationId:
{
Description: An AAD Application ID that was granted the required access permissions to the Azure Key Vault that is to be used when encrypting your data at rest. The Application ID should not be confused with the Object ID for your AAD Application. ,
Required: True ,
}
string ,
applicationSecret:
{
Description: The authentication key of the specified AAD application. ,
Required: False ,
}
string ,
}
,
}
,
}
,
]
,
}

⚐ Response (default)

{
error:
{
Description: The error object. ,
Required: False ,
}
{
code:
{
Description: The error code. ,
Required: False ,
}
string ,
message:
{
Description: The error message. ,
Required: False ,
}
string ,
target:
{
Description: The error target. ,
Required: False ,
}
string ,
details:
{
Description: The error details. ,
Required: False ,
}
[
string ,
]
,
additionalInfo:
{
Description: The error additional info. ,
Required: False ,
}
[
{
type:
{
Description: The additional info type. ,
Required: False ,
}
string ,
info:
{
Description: The additional info. ,
Required: False ,
}
object ,
}
,
]
,
}
,
}
DataSources_Create (new)
Description :  Creates a new datasource.
Reference :  Link ¶

⚼ Request

POST:  /datasources
{
dataSource:
{
Description: The definition of the datasource to create. ,
Required: True ,
}
{
name:
{
Description: The name of the datasource. ,
Required: True ,
}
string ,
description:
{
Description: The description of the datasource. ,
Required: False ,
}
string ,
type:
{
Description: The type of the datasource. ,
Enum:
{
azuresql: Definition of an Azure SQL datasource whose credentials can either be a standard SQL connection string or the ResourceId of the SQL resource. The container property refers to the table or view to be indexed. Query parameter is not supported for this datasource. ,
cosmosdb: Definition of an CosmosDB datasource whose credentials can either be a formatted connection string containing details for AccountEndpoint, AccountKey, and Database for a key based connection or details for ResourceID and ApiKind for keyless connection. The container property refers to cosmosdb collection to be indexed and the optional query property refers to a SQL query on the collection. ,
azureblob: Definition of an Azure Blob datasource whose credentials can either be a storage connection string or the ResourceId of the storage account. The container property refers to the blob container to be indexed and the optional query property refers to a specific sub-folder in the container. ,
azuretable: Definition of an Azure Table datasource whose credentials can either be a table connection string or the ResourceId of the storage account. The container property refers to the blob container to be indexed and the optional query property can be used to filter rows. ,
mysql: Definition of an Azure SQL datasource whose credentials can either be a standard ADO.NET formatted SQL connection string or the ResourceId of the SQL resource. The container property refers to the table or view to be indexed. Query parameter is not supported for this datasource. ,
adlsgen2: Definition of an Azure ADLS Gen 2 datasource whose credentials can either be a storage connection string or the ResourceId of the storage account. The container property refers to the blob container to be indexed and the optional query property refers to a specific sub-folder in the container. ,
onelake: Definition of an Microsoft Fabric Onelake datasource whose credentials can either be the Fabric workspace GUID or a workspace FQDN. The container property refers to the lakehouse GUID and the optional query property refers to folders or shortcuts in the lakehouse. ,
}
,
Required: True ,
}
enum ,
credentials:
{
Description: Credentials for the datasource. ,
Required: True ,
}
{
connectionString:
{
Description: The connection string for the datasource. For Azure SQL, Azure Blob, ADLS Gen 2 and Azure Table, this would be the connection string or resource ID if using managed identity. For CosmosDB this would be a formatted connection string specifying ApiKind or resource ID for managed identity. For Onelake files, connection string would be either the workspace guid or workspace FQDN; Onelake only supports managed identity connections. Set to `` (with brackets) if you don't want the connection string updated. Set to `` if you want to remove the connection string value from the datasource. ,
Required: False ,
}
string ,
}
,
container:
{
Description: The data container for the datasource. ,
Required: True ,
}
{
name:
{
Description: The name of the table or view (for Azure SQL datasource), collection (for CosmosDB datasource), container (for Azure Blob and ADLS Gen 2 datasources), Azure Table (for Azure Table datasource), or lakehouse (for Onelake datasource) that will be indexed. ,
Required: True ,
}
string ,
query:
{
Description: A query that is applied to this data container. For CosmosDB datasource query can flatten and filter data. For Azure Blob and ADLS Gen 2 query can filter by folders. For Azure Table query can filter by row data. For Onelake query can filter by folder or shortcut. Not supported by Azure SQL datasources. ,
Required: False ,
}
string ,
}
,
dataChangeDetectionPolicy:
{
Description: The data change detection policy for the datasource. ,
Required: False ,
}
{
@odata.type:
{
Description: A URI fragment specifying the type of data change detection policy. ,
Required: True ,
}
string ,
}
,
dataDeletionDetectionPolicy:
{
Description: The data deletion detection policy for the datasource. ,
Required: False ,
}
{
@odata.type:
{
Description: A URI fragment specifying the type of data deletion detection policy. ,
Required: True ,
}
string ,
}
,
@odata.etag:
{
Description: The ETag of the data source. ,
Required: False ,
}
string ,
encryptionKey:
{
Description: A description of an encryption key that you create in Azure Key Vault. This key is used to provide an additional level of encryption-at-rest for your datasource definition when you want full assurance that no one, not even Microsoft, can decrypt your data source definition. Once you have encrypted your data source definition, it will always remain encrypted. The search service will ignore attempts to set this property to null. You can change this property as needed if you want to rotate your encryption key; Your datasource definition will be unaffected. Encryption with customer-managed keys is not available for free search services, and is only available for paid services created on or after January 1, 2019. ,
Required: False ,
}
{
keyVaultKeyName:
{
Description: The name of your Azure Key Vault key to be used to encrypt your data at rest. ,
Required: True ,
}
string ,
keyVaultKeyVersion:
{
Description: The version of your Azure Key Vault key to be used to encrypt your data at rest. ,
Required: True ,
}
string ,
keyVaultUri:
{
Description: The URI of your Azure Key Vault, also referred to as DNS name, that contains the key to be used to encrypt your data at rest. An example URI might be `https://my-keyvault-name.vault.azure.net`. ,
Required: True ,
}
string ,
accessCredentials:
{
Description: Optional Azure Active Directory credentials used for accessing your Azure Key Vault. Not required if using managed identity instead. ,
Required: False ,
}
{
applicationId:
{
Description: An AAD Application ID that was granted the required access permissions to the Azure Key Vault that is to be used when encrypting your data at rest. The Application ID should not be confused with the Object ID for your AAD Application. ,
Required: True ,
}
string ,
applicationSecret:
{
Description: The authentication key of the specified AAD application. ,
Required: False ,
}
string ,
}
,
}
,
}
,
x-ms-client-request-id:
{
Description: The tracking ID sent with the request to help with debugging. ,
Format: uuid ,
Required: False ,
}
string ,
api-version:
{
Description: Client Api Version. ,
Required: True ,
}
string ,
}

⚐ Response (201)

{
name:
{
Description: The name of the datasource. ,
Required: True ,
}
string ,
description:
{
Description: The description of the datasource. ,
Required: False ,
}
string ,
type:
{
Description: The type of the datasource. ,
Enum:
{
azuresql: Definition of an Azure SQL datasource whose credentials can either be a standard SQL connection string or the ResourceId of the SQL resource. The container property refers to the table or view to be indexed. Query parameter is not supported for this datasource. ,
cosmosdb: Definition of an CosmosDB datasource whose credentials can either be a formatted connection string containing details for AccountEndpoint, AccountKey, and Database for a key based connection or details for ResourceID and ApiKind for keyless connection. The container property refers to cosmosdb collection to be indexed and the optional query property refers to a SQL query on the collection. ,
azureblob: Definition of an Azure Blob datasource whose credentials can either be a storage connection string or the ResourceId of the storage account. The container property refers to the blob container to be indexed and the optional query property refers to a specific sub-folder in the container. ,
azuretable: Definition of an Azure Table datasource whose credentials can either be a table connection string or the ResourceId of the storage account. The container property refers to the blob container to be indexed and the optional query property can be used to filter rows. ,
mysql: Definition of an Azure SQL datasource whose credentials can either be a standard ADO.NET formatted SQL connection string or the ResourceId of the SQL resource. The container property refers to the table or view to be indexed. Query parameter is not supported for this datasource. ,
adlsgen2: Definition of an Azure ADLS Gen 2 datasource whose credentials can either be a storage connection string or the ResourceId of the storage account. The container property refers to the blob container to be indexed and the optional query property refers to a specific sub-folder in the container. ,
onelake: Definition of an Microsoft Fabric Onelake datasource whose credentials can either be the Fabric workspace GUID or a workspace FQDN. The container property refers to the lakehouse GUID and the optional query property refers to folders or shortcuts in the lakehouse. ,
}
,
Required: True ,
}
enum ,
credentials:
{
Description: Credentials for the datasource. ,
Required: True ,
}
{
connectionString:
{
Description: The connection string for the datasource. For Azure SQL, Azure Blob, ADLS Gen 2 and Azure Table, this would be the connection string or resource ID if using managed identity. For CosmosDB this would be a formatted connection string specifying ApiKind or resource ID for managed identity. For Onelake files, connection string would be either the workspace guid or workspace FQDN; Onelake only supports managed identity connections. Set to `` (with brackets) if you don't want the connection string updated. Set to `` if you want to remove the connection string value from the datasource. ,
Required: False ,
}
string ,
}
,
container:
{
Description: The data container for the datasource. ,
Required: True ,
}
{
name:
{
Description: The name of the table or view (for Azure SQL datasource), collection (for CosmosDB datasource), container (for Azure Blob and ADLS Gen 2 datasources), Azure Table (for Azure Table datasource), or lakehouse (for Onelake datasource) that will be indexed. ,
Required: True ,
}
string ,
query:
{
Description: A query that is applied to this data container. For CosmosDB datasource query can flatten and filter data. For Azure Blob and ADLS Gen 2 query can filter by folders. For Azure Table query can filter by row data. For Onelake query can filter by folder or shortcut. Not supported by Azure SQL datasources. ,
Required: False ,
}
string ,
}
,
dataChangeDetectionPolicy:
{
Description: The data change detection policy for the datasource. ,
Required: False ,
}
{
@odata.type:
{
Description: A URI fragment specifying the type of data change detection policy. ,
Required: True ,
}
string ,
}
,
dataDeletionDetectionPolicy:
{
Description: The data deletion detection policy for the datasource. ,
Required: False ,
}
{
@odata.type:
{
Description: A URI fragment specifying the type of data deletion detection policy. ,
Required: True ,
}
string ,
}
,
@odata.etag:
{
Description: The ETag of the data source. ,
Required: False ,
}
string ,
encryptionKey:
{
Description: A description of an encryption key that you create in Azure Key Vault. This key is used to provide an additional level of encryption-at-rest for your datasource definition when you want full assurance that no one, not even Microsoft, can decrypt your data source definition. Once you have encrypted your data source definition, it will always remain encrypted. The search service will ignore attempts to set this property to null. You can change this property as needed if you want to rotate your encryption key; Your datasource definition will be unaffected. Encryption with customer-managed keys is not available for free search services, and is only available for paid services created on or after January 1, 2019. ,
Required: False ,
}
{
keyVaultKeyName:
{
Description: The name of your Azure Key Vault key to be used to encrypt your data at rest. ,
Required: True ,
}
string ,
keyVaultKeyVersion:
{
Description: The version of your Azure Key Vault key to be used to encrypt your data at rest. ,
Required: True ,
}
string ,
keyVaultUri:
{
Description: The URI of your Azure Key Vault, also referred to as DNS name, that contains the key to be used to encrypt your data at rest. An example URI might be `https://my-keyvault-name.vault.azure.net`. ,
Required: True ,
}
string ,
accessCredentials:
{
Description: Optional Azure Active Directory credentials used for accessing your Azure Key Vault. Not required if using managed identity instead. ,
Required: False ,
}
{
applicationId:
{
Description: An AAD Application ID that was granted the required access permissions to the Azure Key Vault that is to be used when encrypting your data at rest. The Application ID should not be confused with the Object ID for your AAD Application. ,
Required: True ,
}
string ,
applicationSecret:
{
Description: The authentication key of the specified AAD application. ,
Required: False ,
}
string ,
}
,
}
,
}

⚐ Response (default)

{
error:
{
Description: The error object. ,
Required: False ,
}
{
code:
{
Description: The error code. ,
Required: False ,
}
string ,
message:
{
Description: The error message. ,
Required: False ,
}
string ,
target:
{
Description: The error target. ,
Required: False ,
}
string ,
details:
{
Description: The error details. ,
Required: False ,
}
[
string ,
]
,
additionalInfo:
{
Description: The error additional info. ,
Required: False ,
}
[
{
type:
{
Description: The additional info type. ,
Required: False ,
}
string ,
info:
{
Description: The additional info. ,
Required: False ,
}
object ,
}
,
]
,
}
,
}
Indexers_Reset (new)
Description :  Resets the change tracking state associated with an indexer.
Reference :  Link ¶

⚼ Request

POST:  /indexers('{indexerName}')/search.reset
{
indexerName:
{
Description: The name of the indexer to reset. ,
Required: True ,
}
string ,
x-ms-client-request-id:
{
Description: The tracking ID sent with the request to help with debugging. ,
Format: uuid ,
Required: False ,
}
string ,
api-version:
{
Description: Client Api Version. ,
Required: True ,
}
string ,
}

⚐ Response (204)

{}

⚐ Response (default)

{
error:
{
Description: The error object. ,
Required: False ,
}
{
code:
{
Description: The error code. ,
Required: False ,
}
string ,
message:
{
Description: The error message. ,
Required: False ,
}
string ,
target:
{
Description: The error target. ,
Required: False ,
}
string ,
details:
{
Description: The error details. ,
Required: False ,
}
[
string ,
]
,
additionalInfo:
{
Description: The error additional info. ,
Required: False ,
}
[
{
type:
{
Description: The additional info type. ,
Required: False ,
}
string ,
info:
{
Description: The additional info. ,
Required: False ,
}
object ,
}
,
]
,
}
,
}
Indexers_Run (new)
Description :  Runs an indexer on-demand.
Reference :  Link ¶

⚼ Request

POST:  /indexers('{indexerName}')/search.run
{
indexerName:
{
Description: The name of the indexer to run. ,
Required: True ,
}
string ,
x-ms-client-request-id:
{
Description: The tracking ID sent with the request to help with debugging. ,
Format: uuid ,
Required: False ,
}
string ,
api-version:
{
Description: Client Api Version. ,
Required: True ,
}
string ,
}

⚐ Response (202)

{}

⚐ Response (default)

{
error:
{
Description: The error object. ,
Required: False ,
}
{
code:
{
Description: The error code. ,
Required: False ,
}
string ,
message:
{
Description: The error message. ,
Required: False ,
}
string ,
target:
{
Description: The error target. ,
Required: False ,
}
string ,
details:
{
Description: The error details. ,
Required: False ,
}
[
string ,
]
,
additionalInfo:
{
Description: The error additional info. ,
Required: False ,
}
[
{
type:
{
Description: The additional info type. ,
Required: False ,
}
string ,
info:
{
Description: The additional info. ,
Required: False ,
}
object ,
}
,
]
,
}
,
}
Indexers_CreateOrUpdate (new)
Description :  Creates a new indexer or updates an indexer if it already exists.
Reference :  Link ¶

⚼ Request

PUT:  /indexers('{indexerName}')
{
indexerName:
{
Description: The name of the indexer to create or update. ,
Required: True ,
}
string ,
indexer:
{
Description: The definition of the indexer to create or update. ,
Required: True ,
}
{
name:
{
Description: The name of the indexer. ,
Required: True ,
}
string ,
description:
{
Description: The description of the indexer. ,
Required: False ,
}
string ,
dataSourceName:
{
Description: The name of the datasource from which this indexer reads data. ,
Required: True ,
}
string ,
skillsetName:
{
Description: The name of the skillset executing with this indexer. ,
Required: False ,
}
string ,
targetIndexName:
{
Description: The name of the index to which this indexer writes data. ,
Required: True ,
}
string ,
schedule:
{
Description: The schedule for this indexer. ,
Required: False ,
}
{
interval:
{
Description: The interval of time between indexer executions. ,
Format: duration ,
Required: True ,
}
string ,
startTime:
{
Description: The time when an indexer should start running. ,
Format: date-time ,
Required: False ,
}
string ,
}
,
parameters:
{
Description: Parameters for indexer execution. ,
Required: False ,
}
{
batchSize:
{
Description: The number of items that are read from the data source and indexed as a single batch in order to improve performance. The default depends on the data source type. ,
Format: int32 ,
Required: False ,
}
integer ,
maxFailedItems:
{
Description: The maximum number of items that can fail indexing for indexer execution to still be considered successful. -1 means no limit. Default is 0. ,
Format: int32 ,
Required: False ,
}
integer ,
maxFailedItemsPerBatch:
{
Description: The maximum number of items in a single batch that can fail indexing for the batch to still be considered successful. -1 means no limit. Default is 0. ,
Format: int32 ,
Required: False ,
}
integer ,
configuration:
{
Description: A dictionary of indexer-specific configuration properties. Each name is the name of a specific property. Each value must be of a primitive type. ,
Required: False ,
}
{
parsingMode:
{
Description: Represents the parsing mode for indexing from an Azure blob data source. ,
Enum:
{
default: Set to default for normal file processing. ,
text: Set to text to improve indexing performance on plain text files in blob storage. ,
delimitedText: Set to delimitedText when blobs are plain CSV files. ,
json: Set to json to extract structured content from JSON files. ,
jsonArray: Set to jsonArray to extract individual elements of a JSON array as separate documents. ,
jsonLines: Set to jsonLines to extract individual JSON entities, separated by a new line, as separate documents. ,
}
,
Required: False ,
}
enum ,
excludedFileNameExtensions:
{
Description: Comma-delimited list of filename extensions to ignore when processing from Azure blob storage. For example, you could exclude ".png, .mp4" to skip over those files during indexing. ,
Required: False ,
}
string ,
indexedFileNameExtensions:
{
Description: Comma-delimited list of filename extensions to select when processing from Azure blob storage. For example, you could focus indexing on specific application files ".docx, .pptx, .msg" to specifically include those file types. ,
Required: False ,
}
string ,
failOnUnsupportedContentType:
{
Description: For Azure blobs, set to false if you want to continue indexing when an unsupported content type is encountered, and you don't know all the content types (file extensions) in advance. ,
Required: False ,
}
boolean ,
failOnUnprocessableDocument:
{
Description: For Azure blobs, set to false if you want to continue indexing if a document fails indexing. ,
Required: False ,
}
boolean ,
indexStorageMetadataOnlyForOversizedDocuments:
{
Description: For Azure blobs, set this property to true to still index storage metadata for blob content that is too large to process. Oversized blobs are treated as errors by default. For limits on blob size, see https://learn.microsoft.com/azure/search/search-limits-quotas-capacity. ,
Required: False ,
}
boolean ,
delimitedTextHeaders:
{
Description: For CSV blobs, specifies a comma-delimited list of column headers, useful for mapping source fields to destination fields in an index. ,
Required: False ,
}
string ,
delimitedTextDelimiter:
{
Description: For CSV blobs, specifies the end-of-line single-character delimiter for CSV files where each line starts a new document (for example, "|"). ,
Required: False ,
}
string ,
firstLineContainsHeaders:
{
Description: For CSV blobs, indicates that the first (non-blank) line of each blob contains headers. ,
Required: False ,
}
boolean ,
documentRoot:
{
Description: For JSON arrays, given a structured or semi-structured document, you can specify a path to the array using this property. ,
Required: False ,
}
string ,
dataToExtract:
{
Description: Specifies the data to extract from Azure blob storage and tells the indexer which data to extract from image content when "imageAction" is set to a value other than "none". This applies to embedded image content in a .PDF or other application, or image files such as .jpg and .png, in Azure blobs. ,
Enum:
{
storageMetadata: Indexes just the standard blob properties and user-specified metadata. ,
allMetadata: Extracts metadata provided by the Azure blob storage subsystem and the content-type specific metadata (for example, metadata unique to just .png files are indexed). ,
contentAndMetadata: Extracts all metadata and textual content from each blob. ,
}
,
Required: False ,
}
enum ,
imageAction:
{
Description: Determines how to process embedded images and image files in Azure blob storage. Setting the "imageAction" configuration to any value other than "none" requires that a skillset also be attached to that indexer. ,
Enum:
{
none: Ignores embedded images or image files in the data set. This is the default. ,
generateNormalizedImages: Extracts text from images (for example, the word "STOP" from a traffic stop sign), and embeds it into the content field. This action requires that "dataToExtract" is set to "contentAndMetadata". A normalized image refers to additional processing resulting in uniform image output, sized and rotated to promote consistent rendering when you include images in visual search results. This information is generated for each image when you use this option. ,
generateNormalizedImagePerPage: Extracts text from images (for example, the word "STOP" from a traffic stop sign), and embeds it into the content field, but treats PDF files differently in that each page will be rendered as an image and normalized accordingly, instead of extracting embedded images. Non-PDF file types will be treated the same as if "generateNormalizedImages" was set. ,
}
,
Required: False ,
}
enum ,
allowSkillsetToReadFileData:
{
Description: If true, will create a path //document//file_data that is an object representing the original file data downloaded from your blob data source. This allows you to pass the original file data to a custom skill for processing within the enrichment pipeline, or to the Document Extraction skill. ,
Required: False ,
}
boolean ,
pdfTextRotationAlgorithm:
{
Description: Determines algorithm for text extraction from PDF files in Azure blob storage. ,
Enum:
{
none: Leverages normal text extraction. This is the default. ,
detectAngles: May produce better and more readable text extraction from PDF files that have rotated text within them. Note that there may be a small performance speed impact when this parameter is used. This parameter only applies to PDF files, and only to PDFs with embedded text. If the rotated text appears within an embedded image in the PDF, this parameter does not apply. ,
}
,
Required: False ,
}
enum ,
executionEnvironment:
{
Description: Specifies the environment in which the indexer should execute. ,
Enum:
{
standard: Indicates that the search service can determine where the indexer should execute. This is the default environment when nothing is specified and is the recommended value. ,
private: Indicates that the indexer should run with the environment provisioned specifically for the search service. This should only be specified as the execution environment if the indexer needs to access resources securely over shared private link resources. ,
}
,
Required: False ,
}
enum ,
queryTimeout:
{
Description: Increases the timeout beyond the 5-minute default for Azure SQL database data sources, specified in the format "hh:mm:ss". ,
Required: False ,
}
string ,
}
,
}
,
fieldMappings:
{
Description: Defines mappings between fields in the data source and corresponding target fields in the index. ,
Required: False ,
}
[
{
sourceFieldName:
{
Description: The name of the field in the data source. ,
Required: True ,
}
string ,
targetFieldName:
{
Description: The name of the target field in the index. Same as the source field name by default. ,
Required: False ,
}
string ,
mappingFunction:
{
Description: A function to apply to each source field value before indexing. ,
Required: False ,
}
{
name:
{
Description: The name of the field mapping function. ,
Required: True ,
}
string ,
parameters:
{
Description: A dictionary of parameter name/value pairs to pass to the function. Each value must be of a primitive type. ,
Required: False ,
}
object ,
}
,
}
,
]
,
outputFieldMappings:
{
Description: Output field mappings are applied after enrichment and immediately before indexing. ,
Required: False ,
}
[
{
sourceFieldName:
{
Description: The name of the field in the data source. ,
Required: True ,
}
string ,
targetFieldName:
{
Description: The name of the target field in the index. Same as the source field name by default. ,
Required: False ,
}
string ,
mappingFunction:
{
Description: A function to apply to each source field value before indexing. ,
Required: False ,
}
{
name:
{
Description: The name of the field mapping function. ,
Required: True ,
}
string ,
parameters:
{
Description: A dictionary of parameter name/value pairs to pass to the function. Each value must be of a primitive type. ,
Required: False ,
}
object ,
}
,
}
,
]
,
disabled:
{
Description: A value indicating whether the indexer is disabled. Default is false. ,
Required: False ,
}
boolean ,
@odata.etag:
{
Description: The ETag of the indexer. ,
Required: False ,
}
string ,
encryptionKey:
{
Description: A description of an encryption key that you create in Azure Key Vault. This key is used to provide an additional level of encryption-at-rest for your indexer definition (as well as indexer execution status) when you want full assurance that no one, not even Microsoft, can decrypt them. Once you have encrypted your indexer definition, it will always remain encrypted. The search service will ignore attempts to set this property to null. You can change this property as needed if you want to rotate your encryption key; Your indexer definition (and indexer execution status) will be unaffected. Encryption with customer-managed keys is not available for free search services, and is only available for paid services created on or after January 1, 2019. ,
Required: False ,
}
{
keyVaultKeyName:
{
Description: The name of your Azure Key Vault key to be used to encrypt your data at rest. ,
Required: True ,
}
string ,
keyVaultKeyVersion:
{
Description: The version of your Azure Key Vault key to be used to encrypt your data at rest. ,
Required: True ,
}
string ,
keyVaultUri:
{
Description: The URI of your Azure Key Vault, also referred to as DNS name, that contains the key to be used to encrypt your data at rest. An example URI might be `https://my-keyvault-name.vault.azure.net`. ,
Required: True ,
}
string ,
accessCredentials:
{
Description: Optional Azure Active Directory credentials used for accessing your Azure Key Vault. Not required if using managed identity instead. ,
Required: False ,
}
{
applicationId:
{
Description: An AAD Application ID that was granted the required access permissions to the Azure Key Vault that is to be used when encrypting your data at rest. The Application ID should not be confused with the Object ID for your AAD Application. ,
Required: True ,
}
string ,
applicationSecret:
{
Description: The authentication key of the specified AAD application. ,
Required: False ,
}
string ,
}
,
}
,
}
,
x-ms-client-request-id:
{
Description: The tracking ID sent with the request to help with debugging. ,
Format: uuid ,
Required: False ,
}
string ,
If-Match:
{
Description: Defines the If-Match condition. The operation will be performed only if the ETag on the server matches this value. ,
Required: False ,
}
string ,
If-None-Match:
{
Description: Defines the If-None-Match condition. The operation will be performed only if the ETag on the server does not match this value. ,
Required: False ,
}
string ,
Prefer:
{
Description: For HTTP PUT requests, instructs the service to return the created/updated resource on success. ,
Required: True ,
}
string ,
api-version:
{
Description: Client Api Version. ,
Required: True ,
}
string ,
}

⚐ Response (201)

{
name:
{
Description: The name of the indexer. ,
Required: True ,
}
string ,
description:
{
Description: The description of the indexer. ,
Required: False ,
}
string ,
dataSourceName:
{
Description: The name of the datasource from which this indexer reads data. ,
Required: True ,
}
string ,
skillsetName:
{
Description: The name of the skillset executing with this indexer. ,
Required: False ,
}
string ,
targetIndexName:
{
Description: The name of the index to which this indexer writes data. ,
Required: True ,
}
string ,
schedule:
{
Description: The schedule for this indexer. ,
Required: False ,
}
{
interval:
{
Description: The interval of time between indexer executions. ,
Format: duration ,
Required: True ,
}
string ,
startTime:
{
Description: The time when an indexer should start running. ,
Format: date-time ,
Required: False ,
}
string ,
}
,
parameters:
{
Description: Parameters for indexer execution. ,
Required: False ,
}
{
batchSize:
{
Description: The number of items that are read from the data source and indexed as a single batch in order to improve performance. The default depends on the data source type. ,
Format: int32 ,
Required: False ,
}
integer ,
maxFailedItems:
{
Description: The maximum number of items that can fail indexing for indexer execution to still be considered successful. -1 means no limit. Default is 0. ,
Format: int32 ,
Required: False ,
}
integer ,
maxFailedItemsPerBatch:
{
Description: The maximum number of items in a single batch that can fail indexing for the batch to still be considered successful. -1 means no limit. Default is 0. ,
Format: int32 ,
Required: False ,
}
integer ,
configuration:
{
Description: A dictionary of indexer-specific configuration properties. Each name is the name of a specific property. Each value must be of a primitive type. ,
Required: False ,
}
{
parsingMode:
{
Description: Represents the parsing mode for indexing from an Azure blob data source. ,
Enum:
{
default: Set to default for normal file processing. ,
text: Set to text to improve indexing performance on plain text files in blob storage. ,
delimitedText: Set to delimitedText when blobs are plain CSV files. ,
json: Set to json to extract structured content from JSON files. ,
jsonArray: Set to jsonArray to extract individual elements of a JSON array as separate documents. ,
jsonLines: Set to jsonLines to extract individual JSON entities, separated by a new line, as separate documents. ,
}
,
Required: False ,
}
enum ,
excludedFileNameExtensions:
{
Description: Comma-delimited list of filename extensions to ignore when processing from Azure blob storage. For example, you could exclude ".png, .mp4" to skip over those files during indexing. ,
Required: False ,
}
string ,
indexedFileNameExtensions:
{
Description: Comma-delimited list of filename extensions to select when processing from Azure blob storage. For example, you could focus indexing on specific application files ".docx, .pptx, .msg" to specifically include those file types. ,
Required: False ,
}
string ,
failOnUnsupportedContentType:
{
Description: For Azure blobs, set to false if you want to continue indexing when an unsupported content type is encountered, and you don't know all the content types (file extensions) in advance. ,
Required: False ,
}
boolean ,
failOnUnprocessableDocument:
{
Description: For Azure blobs, set to false if you want to continue indexing if a document fails indexing. ,
Required: False ,
}
boolean ,
indexStorageMetadataOnlyForOversizedDocuments:
{
Description: For Azure blobs, set this property to true to still index storage metadata for blob content that is too large to process. Oversized blobs are treated as errors by default. For limits on blob size, see https://learn.microsoft.com/azure/search/search-limits-quotas-capacity. ,
Required: False ,
}
boolean ,
delimitedTextHeaders:
{
Description: For CSV blobs, specifies a comma-delimited list of column headers, useful for mapping source fields to destination fields in an index. ,
Required: False ,
}
string ,
delimitedTextDelimiter:
{
Description: For CSV blobs, specifies the end-of-line single-character delimiter for CSV files where each line starts a new document (for example, "|"). ,
Required: False ,
}
string ,
firstLineContainsHeaders:
{
Description: For CSV blobs, indicates that the first (non-blank) line of each blob contains headers. ,
Required: False ,
}
boolean ,
documentRoot:
{
Description: For JSON arrays, given a structured or semi-structured document, you can specify a path to the array using this property. ,
Required: False ,
}
string ,
dataToExtract:
{
Description: Specifies the data to extract from Azure blob storage and tells the indexer which data to extract from image content when "imageAction" is set to a value other than "none". This applies to embedded image content in a .PDF or other application, or image files such as .jpg and .png, in Azure blobs. ,
Enum:
{
storageMetadata: Indexes just the standard blob properties and user-specified metadata. ,
allMetadata: Extracts metadata provided by the Azure blob storage subsystem and the content-type specific metadata (for example, metadata unique to just .png files are indexed). ,
contentAndMetadata: Extracts all metadata and textual content from each blob. ,
}
,
Required: False ,
}
enum ,
imageAction:
{
Description: Determines how to process embedded images and image files in Azure blob storage. Setting the "imageAction" configuration to any value other than "none" requires that a skillset also be attached to that indexer. ,
Enum:
{
none: Ignores embedded images or image files in the data set. This is the default. ,
generateNormalizedImages: Extracts text from images (for example, the word "STOP" from a traffic stop sign), and embeds it into the content field. This action requires that "dataToExtract" is set to "contentAndMetadata". A normalized image refers to additional processing resulting in uniform image output, sized and rotated to promote consistent rendering when you include images in visual search results. This information is generated for each image when you use this option. ,
generateNormalizedImagePerPage: Extracts text from images (for example, the word "STOP" from a traffic stop sign), and embeds it into the content field, but treats PDF files differently in that each page will be rendered as an image and normalized accordingly, instead of extracting embedded images. Non-PDF file types will be treated the same as if "generateNormalizedImages" was set. ,
}
,
Required: False ,
}
enum ,
allowSkillsetToReadFileData:
{
Description: If true, will create a path //document//file_data that is an object representing the original file data downloaded from your blob data source. This allows you to pass the original file data to a custom skill for processing within the enrichment pipeline, or to the Document Extraction skill. ,
Required: False ,
}
boolean ,
pdfTextRotationAlgorithm:
{
Description: Determines algorithm for text extraction from PDF files in Azure blob storage. ,
Enum:
{
none: Leverages normal text extraction. This is the default. ,
detectAngles: May produce better and more readable text extraction from PDF files that have rotated text within them. Note that there may be a small performance speed impact when this parameter is used. This parameter only applies to PDF files, and only to PDFs with embedded text. If the rotated text appears within an embedded image in the PDF, this parameter does not apply. ,
}
,
Required: False ,
}
enum ,
executionEnvironment:
{
Description: Specifies the environment in which the indexer should execute. ,
Enum:
{
standard: Indicates that the search service can determine where the indexer should execute. This is the default environment when nothing is specified and is the recommended value. ,
private: Indicates that the indexer should run with the environment provisioned specifically for the search service. This should only be specified as the execution environment if the indexer needs to access resources securely over shared private link resources. ,
}
,
Required: False ,
}
enum ,
queryTimeout:
{
Description: Increases the timeout beyond the 5-minute default for Azure SQL database data sources, specified in the format "hh:mm:ss". ,
Required: False ,
}
string ,
}
,
}
,
fieldMappings:
{
Description: Defines mappings between fields in the data source and corresponding target fields in the index. ,
Required: False ,
}
[
{
sourceFieldName:
{
Description: The name of the field in the data source. ,
Required: True ,
}
string ,
targetFieldName:
{
Description: The name of the target field in the index. Same as the source field name by default. ,
Required: False ,
}
string ,
mappingFunction:
{
Description: A function to apply to each source field value before indexing. ,
Required: False ,
}
{
name:
{
Description: The name of the field mapping function. ,
Required: True ,
}
string ,
parameters:
{
Description: A dictionary of parameter name/value pairs to pass to the function. Each value must be of a primitive type. ,
Required: False ,
}
object ,
}
,
}
,
]
,
outputFieldMappings:
{
Description: Output field mappings are applied after enrichment and immediately before indexing. ,
Required: False ,
}
[
{
sourceFieldName:
{
Description: The name of the field in the data source. ,
Required: True ,
}
string ,
targetFieldName:
{
Description: The name of the target field in the index. Same as the source field name by default. ,
Required: False ,
}
string ,
mappingFunction:
{
Description: A function to apply to each source field value before indexing. ,
Required: False ,
}
{
name:
{
Description: The name of the field mapping function. ,
Required: True ,
}
string ,
parameters:
{
Description: A dictionary of parameter name/value pairs to pass to the function. Each value must be of a primitive type. ,
Required: False ,
}
object ,
}
,
}
,
]
,
disabled:
{
Description: A value indicating whether the indexer is disabled. Default is false. ,
Required: False ,
}
boolean ,
@odata.etag:
{
Description: The ETag of the indexer. ,
Required: False ,
}
string ,
encryptionKey:
{
Description: A description of an encryption key that you create in Azure Key Vault. This key is used to provide an additional level of encryption-at-rest for your indexer definition (as well as indexer execution status) when you want full assurance that no one, not even Microsoft, can decrypt them. Once you have encrypted your indexer definition, it will always remain encrypted. The search service will ignore attempts to set this property to null. You can change this property as needed if you want to rotate your encryption key; Your indexer definition (and indexer execution status) will be unaffected. Encryption with customer-managed keys is not available for free search services, and is only available for paid services created on or after January 1, 2019. ,
Required: False ,
}
{
keyVaultKeyName:
{
Description: The name of your Azure Key Vault key to be used to encrypt your data at rest. ,
Required: True ,
}
string ,
keyVaultKeyVersion:
{
Description: The version of your Azure Key Vault key to be used to encrypt your data at rest. ,
Required: True ,
}
string ,
keyVaultUri:
{
Description: The URI of your Azure Key Vault, also referred to as DNS name, that contains the key to be used to encrypt your data at rest. An example URI might be `https://my-keyvault-name.vault.azure.net`. ,
Required: True ,
}
string ,
accessCredentials:
{
Description: Optional Azure Active Directory credentials used for accessing your Azure Key Vault. Not required if using managed identity instead. ,
Required: False ,
}
{
applicationId:
{
Description: An AAD Application ID that was granted the required access permissions to the Azure Key Vault that is to be used when encrypting your data at rest. The Application ID should not be confused with the Object ID for your AAD Application. ,
Required: True ,
}
string ,
applicationSecret:
{
Description: The authentication key of the specified AAD application. ,
Required: False ,
}
string ,
}
,
}
,
}

⚐ Response (200)

{
name:
{
Description: The name of the indexer. ,
Required: True ,
}
string ,
description:
{
Description: The description of the indexer. ,
Required: False ,
}
string ,
dataSourceName:
{
Description: The name of the datasource from which this indexer reads data. ,
Required: True ,
}
string ,
skillsetName:
{
Description: The name of the skillset executing with this indexer. ,
Required: False ,
}
string ,
targetIndexName:
{
Description: The name of the index to which this indexer writes data. ,
Required: True ,
}
string ,
schedule:
{
Description: The schedule for this indexer. ,
Required: False ,
}
{
interval:
{
Description: The interval of time between indexer executions. ,
Format: duration ,
Required: True ,
}
string ,
startTime:
{
Description: The time when an indexer should start running. ,
Format: date-time ,
Required: False ,
}
string ,
}
,
parameters:
{
Description: Parameters for indexer execution. ,
Required: False ,
}
{
batchSize:
{
Description: The number of items that are read from the data source and indexed as a single batch in order to improve performance. The default depends on the data source type. ,
Format: int32 ,
Required: False ,
}
integer ,
maxFailedItems:
{
Description: The maximum number of items that can fail indexing for indexer execution to still be considered successful. -1 means no limit. Default is 0. ,
Format: int32 ,
Required: False ,
}
integer ,
maxFailedItemsPerBatch:
{
Description: The maximum number of items in a single batch that can fail indexing for the batch to still be considered successful. -1 means no limit. Default is 0. ,
Format: int32 ,
Required: False ,
}
integer ,
configuration:
{
Description: A dictionary of indexer-specific configuration properties. Each name is the name of a specific property. Each value must be of a primitive type. ,
Required: False ,
}
{
parsingMode:
{
Description: Represents the parsing mode for indexing from an Azure blob data source. ,
Enum:
{
default: Set to default for normal file processing. ,
text: Set to text to improve indexing performance on plain text files in blob storage. ,
delimitedText: Set to delimitedText when blobs are plain CSV files. ,
json: Set to json to extract structured content from JSON files. ,
jsonArray: Set to jsonArray to extract individual elements of a JSON array as separate documents. ,
jsonLines: Set to jsonLines to extract individual JSON entities, separated by a new line, as separate documents. ,
}
,
Required: False ,
}
enum ,
excludedFileNameExtensions:
{
Description: Comma-delimited list of filename extensions to ignore when processing from Azure blob storage. For example, you could exclude ".png, .mp4" to skip over those files during indexing. ,
Required: False ,
}
string ,
indexedFileNameExtensions:
{
Description: Comma-delimited list of filename extensions to select when processing from Azure blob storage. For example, you could focus indexing on specific application files ".docx, .pptx, .msg" to specifically include those file types. ,
Required: False ,
}
string ,
failOnUnsupportedContentType:
{
Description: For Azure blobs, set to false if you want to continue indexing when an unsupported content type is encountered, and you don't know all the content types (file extensions) in advance. ,
Required: False ,
}
boolean ,
failOnUnprocessableDocument:
{
Description: For Azure blobs, set to false if you want to continue indexing if a document fails indexing. ,
Required: False ,
}
boolean ,
indexStorageMetadataOnlyForOversizedDocuments:
{
Description: For Azure blobs, set this property to true to still index storage metadata for blob content that is too large to process. Oversized blobs are treated as errors by default. For limits on blob size, see https://learn.microsoft.com/azure/search/search-limits-quotas-capacity. ,
Required: False ,
}
boolean ,
delimitedTextHeaders:
{
Description: For CSV blobs, specifies a comma-delimited list of column headers, useful for mapping source fields to destination fields in an index. ,
Required: False ,
}
string ,
delimitedTextDelimiter:
{
Description: For CSV blobs, specifies the end-of-line single-character delimiter for CSV files where each line starts a new document (for example, "|"). ,
Required: False ,
}
string ,
firstLineContainsHeaders:
{
Description: For CSV blobs, indicates that the first (non-blank) line of each blob contains headers. ,
Required: False ,
}
boolean ,
documentRoot:
{
Description: For JSON arrays, given a structured or semi-structured document, you can specify a path to the array using this property. ,
Required: False ,
}
string ,
dataToExtract:
{
Description: Specifies the data to extract from Azure blob storage and tells the indexer which data to extract from image content when "imageAction" is set to a value other than "none". This applies to embedded image content in a .PDF or other application, or image files such as .jpg and .png, in Azure blobs. ,
Enum:
{
storageMetadata: Indexes just the standard blob properties and user-specified metadata. ,
allMetadata: Extracts metadata provided by the Azure blob storage subsystem and the content-type specific metadata (for example, metadata unique to just .png files are indexed). ,
contentAndMetadata: Extracts all metadata and textual content from each blob. ,
}
,
Required: False ,
}
enum ,
imageAction:
{
Description: Determines how to process embedded images and image files in Azure blob storage. Setting the "imageAction" configuration to any value other than "none" requires that a skillset also be attached to that indexer. ,
Enum:
{
none: Ignores embedded images or image files in the data set. This is the default. ,
generateNormalizedImages: Extracts text from images (for example, the word "STOP" from a traffic stop sign), and embeds it into the content field. This action requires that "dataToExtract" is set to "contentAndMetadata". A normalized image refers to additional processing resulting in uniform image output, sized and rotated to promote consistent rendering when you include images in visual search results. This information is generated for each image when you use this option. ,
generateNormalizedImagePerPage: Extracts text from images (for example, the word "STOP" from a traffic stop sign), and embeds it into the content field, but treats PDF files differently in that each page will be rendered as an image and normalized accordingly, instead of extracting embedded images. Non-PDF file types will be treated the same as if "generateNormalizedImages" was set. ,
}
,
Required: False ,
}
enum ,
allowSkillsetToReadFileData:
{
Description: If true, will create a path //document//file_data that is an object representing the original file data downloaded from your blob data source. This allows you to pass the original file data to a custom skill for processing within the enrichment pipeline, or to the Document Extraction skill. ,
Required: False ,
}
boolean ,
pdfTextRotationAlgorithm:
{
Description: Determines algorithm for text extraction from PDF files in Azure blob storage. ,
Enum:
{
none: Leverages normal text extraction. This is the default. ,
detectAngles: May produce better and more readable text extraction from PDF files that have rotated text within them. Note that there may be a small performance speed impact when this parameter is used. This parameter only applies to PDF files, and only to PDFs with embedded text. If the rotated text appears within an embedded image in the PDF, this parameter does not apply. ,
}
,
Required: False ,
}
enum ,
executionEnvironment:
{
Description: Specifies the environment in which the indexer should execute. ,
Enum:
{
standard: Indicates that the search service can determine where the indexer should execute. This is the default environment when nothing is specified and is the recommended value. ,
private: Indicates that the indexer should run with the environment provisioned specifically for the search service. This should only be specified as the execution environment if the indexer needs to access resources securely over shared private link resources. ,
}
,
Required: False ,
}
enum ,
queryTimeout:
{
Description: Increases the timeout beyond the 5-minute default for Azure SQL database data sources, specified in the format "hh:mm:ss". ,
Required: False ,
}
string ,
}
,
}
,
fieldMappings:
{
Description: Defines mappings between fields in the data source and corresponding target fields in the index. ,
Required: False ,
}
[
{
sourceFieldName:
{
Description: The name of the field in the data source. ,
Required: True ,
}
string ,
targetFieldName:
{
Description: The name of the target field in the index. Same as the source field name by default. ,
Required: False ,
}
string ,
mappingFunction:
{
Description: A function to apply to each source field value before indexing. ,
Required: False ,
}
{
name:
{
Description: The name of the field mapping function. ,
Required: True ,
}
string ,
parameters:
{
Description: A dictionary of parameter name/value pairs to pass to the function. Each value must be of a primitive type. ,
Required: False ,
}
object ,
}
,
}
,
]
,
outputFieldMappings:
{
Description: Output field mappings are applied after enrichment and immediately before indexing. ,
Required: False ,
}
[
{
sourceFieldName:
{
Description: The name of the field in the data source. ,
Required: True ,
}
string ,
targetFieldName:
{
Description: The name of the target field in the index. Same as the source field name by default. ,
Required: False ,
}
string ,
mappingFunction:
{
Description: A function to apply to each source field value before indexing. ,
Required: False ,
}
{
name:
{
Description: The name of the field mapping function. ,
Required: True ,
}
string ,
parameters:
{
Description: A dictionary of parameter name/value pairs to pass to the function. Each value must be of a primitive type. ,
Required: False ,
}
object ,
}
,
}
,
]
,
disabled:
{
Description: A value indicating whether the indexer is disabled. Default is false. ,
Required: False ,
}
boolean ,
@odata.etag:
{
Description: The ETag of the indexer. ,
Required: False ,
}
string ,
encryptionKey:
{
Description: A description of an encryption key that you create in Azure Key Vault. This key is used to provide an additional level of encryption-at-rest for your indexer definition (as well as indexer execution status) when you want full assurance that no one, not even Microsoft, can decrypt them. Once you have encrypted your indexer definition, it will always remain encrypted. The search service will ignore attempts to set this property to null. You can change this property as needed if you want to rotate your encryption key; Your indexer definition (and indexer execution status) will be unaffected. Encryption with customer-managed keys is not available for free search services, and is only available for paid services created on or after January 1, 2019. ,
Required: False ,
}
{
keyVaultKeyName:
{
Description: The name of your Azure Key Vault key to be used to encrypt your data at rest. ,
Required: True ,
}
string ,
keyVaultKeyVersion:
{
Description: The version of your Azure Key Vault key to be used to encrypt your data at rest. ,
Required: True ,
}
string ,
keyVaultUri:
{
Description: The URI of your Azure Key Vault, also referred to as DNS name, that contains the key to be used to encrypt your data at rest. An example URI might be `https://my-keyvault-name.vault.azure.net`. ,
Required: True ,
}
string ,
accessCredentials:
{
Description: Optional Azure Active Directory credentials used for accessing your Azure Key Vault. Not required if using managed identity instead. ,
Required: False ,
}
{
applicationId:
{
Description: An AAD Application ID that was granted the required access permissions to the Azure Key Vault that is to be used when encrypting your data at rest. The Application ID should not be confused with the Object ID for your AAD Application. ,
Required: True ,
}
string ,
applicationSecret:
{
Description: The authentication key of the specified AAD application. ,
Required: False ,
}
string ,
}
,
}
,
}

⚐ Response (default)

{
error:
{
Description: The error object. ,
Required: False ,
}
{
code:
{
Description: The error code. ,
Required: False ,
}
string ,
message:
{
Description: The error message. ,
Required: False ,
}
string ,
target:
{
Description: The error target. ,
Required: False ,
}
string ,
details:
{
Description: The error details. ,
Required: False ,
}
[
string ,
]
,
additionalInfo:
{
Description: The error additional info. ,
Required: False ,
}
[
{
type:
{
Description: The additional info type. ,
Required: False ,
}
string ,
info:
{
Description: The additional info. ,
Required: False ,
}
object ,
}
,
]
,
}
,
}
Indexers_Delete (new)
Description :  Deletes an indexer.
Reference :  Link ¶

⚼ Request

DELETE:  /indexers('{indexerName}')
{
indexerName:
{
Description: The name of the indexer to delete. ,
Required: True ,
}
string ,
x-ms-client-request-id:
{
Description: The tracking ID sent with the request to help with debugging. ,
Format: uuid ,
Required: False ,
}
string ,
If-Match:
{
Description: Defines the If-Match condition. The operation will be performed only if the ETag on the server matches this value. ,
Required: False ,
}
string ,
If-None-Match:
{
Description: Defines the If-None-Match condition. The operation will be performed only if the ETag on the server does not match this value. ,
Required: False ,
}
string ,
api-version:
{
Description: Client Api Version. ,
Required: True ,
}
string ,
}

⚐ Response (404)

{}

⚐ Response (204)

{}

⚐ Response (default)

{
error:
{
Description: The error object. ,
Required: False ,
}
{
code:
{
Description: The error code. ,
Required: False ,
}
string ,
message:
{
Description: The error message. ,
Required: False ,
}
string ,
target:
{
Description: The error target. ,
Required: False ,
}
string ,
details:
{
Description: The error details. ,
Required: False ,
}
[
string ,
]
,
additionalInfo:
{
Description: The error additional info. ,
Required: False ,
}
[
{
type:
{
Description: The additional info type. ,
Required: False ,
}
string ,
info:
{
Description: The additional info. ,
Required: False ,
}
object ,
}
,
]
,
}
,
}
Indexers_Get (new)
Description :  Retrieves an indexer definition.
Reference :  Link ¶

⚼ Request

GET:  /indexers('{indexerName}')
{
indexerName:
{
Description: The name of the indexer to retrieve. ,
Required: True ,
}
string ,
x-ms-client-request-id:
{
Description: The tracking ID sent with the request to help with debugging. ,
Format: uuid ,
Required: False ,
}
string ,
api-version:
{
Description: Client Api Version. ,
Required: True ,
}
string ,
}

⚐ Response (200)

{
name:
{
Description: The name of the indexer. ,
Required: True ,
}
string ,
description:
{
Description: The description of the indexer. ,
Required: False ,
}
string ,
dataSourceName:
{
Description: The name of the datasource from which this indexer reads data. ,
Required: True ,
}
string ,
skillsetName:
{
Description: The name of the skillset executing with this indexer. ,
Required: False ,
}
string ,
targetIndexName:
{
Description: The name of the index to which this indexer writes data. ,
Required: True ,
}
string ,
schedule:
{
Description: The schedule for this indexer. ,
Required: False ,
}
{
interval:
{
Description: The interval of time between indexer executions. ,
Format: duration ,
Required: True ,
}
string ,
startTime:
{
Description: The time when an indexer should start running. ,
Format: date-time ,
Required: False ,
}
string ,
}
,
parameters:
{
Description: Parameters for indexer execution. ,
Required: False ,
}
{
batchSize:
{
Description: The number of items that are read from the data source and indexed as a single batch in order to improve performance. The default depends on the data source type. ,
Format: int32 ,
Required: False ,
}
integer ,
maxFailedItems:
{
Description: The maximum number of items that can fail indexing for indexer execution to still be considered successful. -1 means no limit. Default is 0. ,
Format: int32 ,
Required: False ,
}
integer ,
maxFailedItemsPerBatch:
{
Description: The maximum number of items in a single batch that can fail indexing for the batch to still be considered successful. -1 means no limit. Default is 0. ,
Format: int32 ,
Required: False ,
}
integer ,
configuration:
{
Description: A dictionary of indexer-specific configuration properties. Each name is the name of a specific property. Each value must be of a primitive type. ,
Required: False ,
}
{
parsingMode:
{
Description: Represents the parsing mode for indexing from an Azure blob data source. ,
Enum:
{
default: Set to default for normal file processing. ,
text: Set to text to improve indexing performance on plain text files in blob storage. ,
delimitedText: Set to delimitedText when blobs are plain CSV files. ,
json: Set to json to extract structured content from JSON files. ,
jsonArray: Set to jsonArray to extract individual elements of a JSON array as separate documents. ,
jsonLines: Set to jsonLines to extract individual JSON entities, separated by a new line, as separate documents. ,
}
,
Required: False ,
}
enum ,
excludedFileNameExtensions:
{
Description: Comma-delimited list of filename extensions to ignore when processing from Azure blob storage. For example, you could exclude ".png, .mp4" to skip over those files during indexing. ,
Required: False ,
}
string ,
indexedFileNameExtensions:
{
Description: Comma-delimited list of filename extensions to select when processing from Azure blob storage. For example, you could focus indexing on specific application files ".docx, .pptx, .msg" to specifically include those file types. ,
Required: False ,
}
string ,
failOnUnsupportedContentType:
{
Description: For Azure blobs, set to false if you want to continue indexing when an unsupported content type is encountered, and you don't know all the content types (file extensions) in advance. ,
Required: False ,
}
boolean ,
failOnUnprocessableDocument:
{
Description: For Azure blobs, set to false if you want to continue indexing if a document fails indexing. ,
Required: False ,
}
boolean ,
indexStorageMetadataOnlyForOversizedDocuments:
{
Description: For Azure blobs, set this property to true to still index storage metadata for blob content that is too large to process. Oversized blobs are treated as errors by default. For limits on blob size, see https://learn.microsoft.com/azure/search/search-limits-quotas-capacity. ,
Required: False ,
}
boolean ,
delimitedTextHeaders:
{
Description: For CSV blobs, specifies a comma-delimited list of column headers, useful for mapping source fields to destination fields in an index. ,
Required: False ,
}
string ,
delimitedTextDelimiter:
{
Description: For CSV blobs, specifies the end-of-line single-character delimiter for CSV files where each line starts a new document (for example, "|"). ,
Required: False ,
}
string ,
firstLineContainsHeaders:
{
Description: For CSV blobs, indicates that the first (non-blank) line of each blob contains headers. ,
Required: False ,
}
boolean ,
documentRoot:
{
Description: For JSON arrays, given a structured or semi-structured document, you can specify a path to the array using this property. ,
Required: False ,
}
string ,
dataToExtract:
{
Description: Specifies the data to extract from Azure blob storage and tells the indexer which data to extract from image content when "imageAction" is set to a value other than "none". This applies to embedded image content in a .PDF or other application, or image files such as .jpg and .png, in Azure blobs. ,
Enum:
{
storageMetadata: Indexes just the standard blob properties and user-specified metadata. ,
allMetadata: Extracts metadata provided by the Azure blob storage subsystem and the content-type specific metadata (for example, metadata unique to just .png files are indexed). ,
contentAndMetadata: Extracts all metadata and textual content from each blob. ,
}
,
Required: False ,
}
enum ,
imageAction:
{
Description: Determines how to process embedded images and image files in Azure blob storage. Setting the "imageAction" configuration to any value other than "none" requires that a skillset also be attached to that indexer. ,
Enum:
{
none: Ignores embedded images or image files in the data set. This is the default. ,
generateNormalizedImages: Extracts text from images (for example, the word "STOP" from a traffic stop sign), and embeds it into the content field. This action requires that "dataToExtract" is set to "contentAndMetadata". A normalized image refers to additional processing resulting in uniform image output, sized and rotated to promote consistent rendering when you include images in visual search results. This information is generated for each image when you use this option. ,
generateNormalizedImagePerPage: Extracts text from images (for example, the word "STOP" from a traffic stop sign), and embeds it into the content field, but treats PDF files differently in that each page will be rendered as an image and normalized accordingly, instead of extracting embedded images. Non-PDF file types will be treated the same as if "generateNormalizedImages" was set. ,
}
,
Required: False ,
}
enum ,
allowSkillsetToReadFileData:
{
Description: If true, will create a path //document//file_data that is an object representing the original file data downloaded from your blob data source. This allows you to pass the original file data to a custom skill for processing within the enrichment pipeline, or to the Document Extraction skill. ,
Required: False ,
}
boolean ,
pdfTextRotationAlgorithm:
{
Description: Determines algorithm for text extraction from PDF files in Azure blob storage. ,
Enum:
{
none: Leverages normal text extraction. This is the default. ,
detectAngles: May produce better and more readable text extraction from PDF files that have rotated text within them. Note that there may be a small performance speed impact when this parameter is used. This parameter only applies to PDF files, and only to PDFs with embedded text. If the rotated text appears within an embedded image in the PDF, this parameter does not apply. ,
}
,
Required: False ,
}
enum ,
executionEnvironment:
{
Description: Specifies the environment in which the indexer should execute. ,
Enum:
{
standard: Indicates that the search service can determine where the indexer should execute. This is the default environment when nothing is specified and is the recommended value. ,
private: Indicates that the indexer should run with the environment provisioned specifically for the search service. This should only be specified as the execution environment if the indexer needs to access resources securely over shared private link resources. ,
}
,
Required: False ,
}
enum ,
queryTimeout:
{
Description: Increases the timeout beyond the 5-minute default for Azure SQL database data sources, specified in the format "hh:mm:ss". ,
Required: False ,
}
string ,
}
,
}
,
fieldMappings:
{
Description: Defines mappings between fields in the data source and corresponding target fields in the index. ,
Required: False ,
}
[
{
sourceFieldName:
{
Description: The name of the field in the data source. ,
Required: True ,
}
string ,
targetFieldName:
{
Description: The name of the target field in the index. Same as the source field name by default. ,
Required: False ,
}
string ,
mappingFunction:
{
Description: A function to apply to each source field value before indexing. ,
Required: False ,
}
{
name:
{
Description: The name of the field mapping function. ,
Required: True ,
}
string ,
parameters:
{
Description: A dictionary of parameter name/value pairs to pass to the function. Each value must be of a primitive type. ,
Required: False ,
}
object ,
}
,
}
,
]
,
outputFieldMappings:
{
Description: Output field mappings are applied after enrichment and immediately before indexing. ,
Required: False ,
}
[
{
sourceFieldName:
{
Description: The name of the field in the data source. ,
Required: True ,
}
string ,
targetFieldName:
{
Description: The name of the target field in the index. Same as the source field name by default. ,
Required: False ,
}
string ,
mappingFunction:
{
Description: A function to apply to each source field value before indexing. ,
Required: False ,
}
{
name:
{
Description: The name of the field mapping function. ,
Required: True ,
}
string ,
parameters:
{
Description: A dictionary of parameter name/value pairs to pass to the function. Each value must be of a primitive type. ,
Required: False ,
}
object ,
}
,
}
,
]
,
disabled:
{
Description: A value indicating whether the indexer is disabled. Default is false. ,
Required: False ,
}
boolean ,
@odata.etag:
{
Description: The ETag of the indexer. ,
Required: False ,
}
string ,
encryptionKey:
{
Description: A description of an encryption key that you create in Azure Key Vault. This key is used to provide an additional level of encryption-at-rest for your indexer definition (as well as indexer execution status) when you want full assurance that no one, not even Microsoft, can decrypt them. Once you have encrypted your indexer definition, it will always remain encrypted. The search service will ignore attempts to set this property to null. You can change this property as needed if you want to rotate your encryption key; Your indexer definition (and indexer execution status) will be unaffected. Encryption with customer-managed keys is not available for free search services, and is only available for paid services created on or after January 1, 2019. ,
Required: False ,
}
{
keyVaultKeyName:
{
Description: The name of your Azure Key Vault key to be used to encrypt your data at rest. ,
Required: True ,
}
string ,
keyVaultKeyVersion:
{
Description: The version of your Azure Key Vault key to be used to encrypt your data at rest. ,
Required: True ,
}
string ,
keyVaultUri:
{
Description: The URI of your Azure Key Vault, also referred to as DNS name, that contains the key to be used to encrypt your data at rest. An example URI might be `https://my-keyvault-name.vault.azure.net`. ,
Required: True ,
}
string ,
accessCredentials:
{
Description: Optional Azure Active Directory credentials used for accessing your Azure Key Vault. Not required if using managed identity instead. ,
Required: False ,
}
{
applicationId:
{
Description: An AAD Application ID that was granted the required access permissions to the Azure Key Vault that is to be used when encrypting your data at rest. The Application ID should not be confused with the Object ID for your AAD Application. ,
Required: True ,
}
string ,
applicationSecret:
{
Description: The authentication key of the specified AAD application. ,
Required: False ,
}
string ,
}
,
}
,
}

⚐ Response (default)

{
error:
{
Description: The error object. ,
Required: False ,
}
{
code:
{
Description: The error code. ,
Required: False ,
}
string ,
message:
{
Description: The error message. ,
Required: False ,
}
string ,
target:
{
Description: The error target. ,
Required: False ,
}
string ,
details:
{
Description: The error details. ,
Required: False ,
}
[
string ,
]
,
additionalInfo:
{
Description: The error additional info. ,
Required: False ,
}
[
{
type:
{
Description: The additional info type. ,
Required: False ,
}
string ,
info:
{
Description: The additional info. ,
Required: False ,
}
object ,
}
,
]
,
}
,
}
Indexers_List (new)
Description :  Lists all indexers available for a search service.
Reference :  Link ¶

⚼ Request

GET:  /indexers
{
$select:
{
Description: Selects which top-level properties of the indexers to retrieve. Specified as a comma-separated list of JSON property names, or '*' for all properties. The default is all properties. ,
Required: False ,
}
string ,
x-ms-client-request-id:
{
Description: The tracking ID sent with the request to help with debugging. ,
Format: uuid ,
Required: False ,
}
string ,
api-version:
{
Description: Client Api Version. ,
Required: True ,
}
string ,
}

⚐ Response (200)

{
value:
{
Description: The indexers in the Search service. ,
Required: True ,
}
[
{
name:
{
Description: The name of the indexer. ,
Required: True ,
}
string ,
description:
{
Description: The description of the indexer. ,
Required: False ,
}
string ,
dataSourceName:
{
Description: The name of the datasource from which this indexer reads data. ,
Required: True ,
}
string ,
skillsetName:
{
Description: The name of the skillset executing with this indexer. ,
Required: False ,
}
string ,
targetIndexName:
{
Description: The name of the index to which this indexer writes data. ,
Required: True ,
}
string ,
schedule:
{
Description: The schedule for this indexer. ,
Required: False ,
}
{
interval:
{
Description: The interval of time between indexer executions. ,
Format: duration ,
Required: True ,
}
string ,
startTime:
{
Description: The time when an indexer should start running. ,
Format: date-time ,
Required: False ,
}
string ,
}
,
parameters:
{
Description: Parameters for indexer execution. ,
Required: False ,
}
{
batchSize:
{
Description: The number of items that are read from the data source and indexed as a single batch in order to improve performance. The default depends on the data source type. ,
Format: int32 ,
Required: False ,
}
integer ,
maxFailedItems:
{
Description: The maximum number of items that can fail indexing for indexer execution to still be considered successful. -1 means no limit. Default is 0. ,
Format: int32 ,
Required: False ,
}
integer ,
maxFailedItemsPerBatch:
{
Description: The maximum number of items in a single batch that can fail indexing for the batch to still be considered successful. -1 means no limit. Default is 0. ,
Format: int32 ,
Required: False ,
}
integer ,
configuration:
{
Description: A dictionary of indexer-specific configuration properties. Each name is the name of a specific property. Each value must be of a primitive type. ,
Required: False ,
}
{
parsingMode:
{
Description: Represents the parsing mode for indexing from an Azure blob data source. ,
Enum:
{
default: Set to default for normal file processing. ,
text: Set to text to improve indexing performance on plain text files in blob storage. ,
delimitedText: Set to delimitedText when blobs are plain CSV files. ,
json: Set to json to extract structured content from JSON files. ,
jsonArray: Set to jsonArray to extract individual elements of a JSON array as separate documents. ,
jsonLines: Set to jsonLines to extract individual JSON entities, separated by a new line, as separate documents. ,
}
,
Required: False ,
}
enum ,
excludedFileNameExtensions:
{
Description: Comma-delimited list of filename extensions to ignore when processing from Azure blob storage. For example, you could exclude ".png, .mp4" to skip over those files during indexing. ,
Required: False ,
}
string ,
indexedFileNameExtensions:
{
Description: Comma-delimited list of filename extensions to select when processing from Azure blob storage. For example, you could focus indexing on specific application files ".docx, .pptx, .msg" to specifically include those file types. ,
Required: False ,
}
string ,
failOnUnsupportedContentType:
{
Description: For Azure blobs, set to false if you want to continue indexing when an unsupported content type is encountered, and you don't know all the content types (file extensions) in advance. ,
Required: False ,
}
boolean ,
failOnUnprocessableDocument:
{
Description: For Azure blobs, set to false if you want to continue indexing if a document fails indexing. ,
Required: False ,
}
boolean ,
indexStorageMetadataOnlyForOversizedDocuments:
{
Description: For Azure blobs, set this property to true to still index storage metadata for blob content that is too large to process. Oversized blobs are treated as errors by default. For limits on blob size, see https://learn.microsoft.com/azure/search/search-limits-quotas-capacity. ,
Required: False ,
}
boolean ,
delimitedTextHeaders:
{
Description: For CSV blobs, specifies a comma-delimited list of column headers, useful for mapping source fields to destination fields in an index. ,
Required: False ,
}
string ,
delimitedTextDelimiter:
{
Description: For CSV blobs, specifies the end-of-line single-character delimiter for CSV files where each line starts a new document (for example, "|"). ,
Required: False ,
}
string ,
firstLineContainsHeaders:
{
Description: For CSV blobs, indicates that the first (non-blank) line of each blob contains headers. ,
Required: False ,
}
boolean ,
documentRoot:
{
Description: For JSON arrays, given a structured or semi-structured document, you can specify a path to the array using this property. ,
Required: False ,
}
string ,
dataToExtract:
{
Description: Specifies the data to extract from Azure blob storage and tells the indexer which data to extract from image content when "imageAction" is set to a value other than "none". This applies to embedded image content in a .PDF or other application, or image files such as .jpg and .png, in Azure blobs. ,
Enum:
{
storageMetadata: Indexes just the standard blob properties and user-specified metadata. ,
allMetadata: Extracts metadata provided by the Azure blob storage subsystem and the content-type specific metadata (for example, metadata unique to just .png files are indexed). ,
contentAndMetadata: Extracts all metadata and textual content from each blob. ,
}
,
Required: False ,
}
enum ,
imageAction:
{
Description: Determines how to process embedded images and image files in Azure blob storage. Setting the "imageAction" configuration to any value other than "none" requires that a skillset also be attached to that indexer. ,
Enum:
{
none: Ignores embedded images or image files in the data set. This is the default. ,
generateNormalizedImages: Extracts text from images (for example, the word "STOP" from a traffic stop sign), and embeds it into the content field. This action requires that "dataToExtract" is set to "contentAndMetadata". A normalized image refers to additional processing resulting in uniform image output, sized and rotated to promote consistent rendering when you include images in visual search results. This information is generated for each image when you use this option. ,
generateNormalizedImagePerPage: Extracts text from images (for example, the word "STOP" from a traffic stop sign), and embeds it into the content field, but treats PDF files differently in that each page will be rendered as an image and normalized accordingly, instead of extracting embedded images. Non-PDF file types will be treated the same as if "generateNormalizedImages" was set. ,
}
,
Required: False ,
}
enum ,
allowSkillsetToReadFileData:
{
Description: If true, will create a path //document//file_data that is an object representing the original file data downloaded from your blob data source. This allows you to pass the original file data to a custom skill for processing within the enrichment pipeline, or to the Document Extraction skill. ,
Required: False ,
}
boolean ,
pdfTextRotationAlgorithm:
{
Description: Determines algorithm for text extraction from PDF files in Azure blob storage. ,
Enum:
{
none: Leverages normal text extraction. This is the default. ,
detectAngles: May produce better and more readable text extraction from PDF files that have rotated text within them. Note that there may be a small performance speed impact when this parameter is used. This parameter only applies to PDF files, and only to PDFs with embedded text. If the rotated text appears within an embedded image in the PDF, this parameter does not apply. ,
}
,
Required: False ,
}
enum ,
executionEnvironment:
{
Description: Specifies the environment in which the indexer should execute. ,
Enum:
{
standard: Indicates that the search service can determine where the indexer should execute. This is the default environment when nothing is specified and is the recommended value. ,
private: Indicates that the indexer should run with the environment provisioned specifically for the search service. This should only be specified as the execution environment if the indexer needs to access resources securely over shared private link resources. ,
}
,
Required: False ,
}
enum ,
queryTimeout:
{
Description: Increases the timeout beyond the 5-minute default for Azure SQL database data sources, specified in the format "hh:mm:ss". ,
Required: False ,
}
string ,
}
,
}
,
fieldMappings:
{
Description: Defines mappings between fields in the data source and corresponding target fields in the index. ,
Required: False ,
}
[
{
sourceFieldName:
{
Description: The name of the field in the data source. ,
Required: True ,
}
string ,
targetFieldName:
{
Description: The name of the target field in the index. Same as the source field name by default. ,
Required: False ,
}
string ,
mappingFunction:
{
Description: A function to apply to each source field value before indexing. ,
Required: False ,
}
{
name:
{
Description: The name of the field mapping function. ,
Required: True ,
}
string ,
parameters:
{
Description: A dictionary of parameter name/value pairs to pass to the function. Each value must be of a primitive type. ,
Required: False ,
}
object ,
}
,
}
,
]
,
outputFieldMappings:
{
Description: Output field mappings are applied after enrichment and immediately before indexing. ,
Required: False ,
}
[
{
sourceFieldName:
{
Description: The name of the field in the data source. ,
Required: True ,
}
string ,
targetFieldName:
{
Description: The name of the target field in the index. Same as the source field name by default. ,
Required: False ,
}
string ,
mappingFunction:
{
Description: A function to apply to each source field value before indexing. ,
Required: False ,
}
{
name:
{
Description: The name of the field mapping function. ,
Required: True ,
}
string ,
parameters:
{
Description: A dictionary of parameter name/value pairs to pass to the function. Each value must be of a primitive type. ,
Required: False ,
}
object ,
}
,
}
,
]
,
disabled:
{
Description: A value indicating whether the indexer is disabled. Default is false. ,
Required: False ,
}
boolean ,
@odata.etag:
{
Description: The ETag of the indexer. ,
Required: False ,
}
string ,
encryptionKey:
{
Description: A description of an encryption key that you create in Azure Key Vault. This key is used to provide an additional level of encryption-at-rest for your indexer definition (as well as indexer execution status) when you want full assurance that no one, not even Microsoft, can decrypt them. Once you have encrypted your indexer definition, it will always remain encrypted. The search service will ignore attempts to set this property to null. You can change this property as needed if you want to rotate your encryption key; Your indexer definition (and indexer execution status) will be unaffected. Encryption with customer-managed keys is not available for free search services, and is only available for paid services created on or after January 1, 2019. ,
Required: False ,
}
{
keyVaultKeyName:
{
Description: The name of your Azure Key Vault key to be used to encrypt your data at rest. ,
Required: True ,
}
string ,
keyVaultKeyVersion:
{
Description: The version of your Azure Key Vault key to be used to encrypt your data at rest. ,
Required: True ,
}
string ,
keyVaultUri:
{
Description: The URI of your Azure Key Vault, also referred to as DNS name, that contains the key to be used to encrypt your data at rest. An example URI might be `https://my-keyvault-name.vault.azure.net`. ,
Required: True ,
}
string ,
accessCredentials:
{
Description: Optional Azure Active Directory credentials used for accessing your Azure Key Vault. Not required if using managed identity instead. ,
Required: False ,
}
{
applicationId:
{
Description: An AAD Application ID that was granted the required access permissions to the Azure Key Vault that is to be used when encrypting your data at rest. The Application ID should not be confused with the Object ID for your AAD Application. ,
Required: True ,
}
string ,
applicationSecret:
{
Description: The authentication key of the specified AAD application. ,
Required: False ,
}
string ,
}
,
}
,
}
,
]
,
}

⚐ Response (default)

{
error:
{
Description: The error object. ,
Required: False ,
}
{
code:
{
Description: The error code. ,
Required: False ,
}
string ,
message:
{
Description: The error message. ,
Required: False ,
}
string ,
target:
{
Description: The error target. ,
Required: False ,
}
string ,
details:
{
Description: The error details. ,
Required: False ,
}
[
string ,
]
,
additionalInfo:
{
Description: The error additional info. ,
Required: False ,
}
[
{
type:
{
Description: The additional info type. ,
Required: False ,
}
string ,
info:
{
Description: The additional info. ,
Required: False ,
}
object ,
}
,
]
,
}
,
}
Indexers_Create (new)
Description :  Creates a new indexer.
Reference :  Link ¶

⚼ Request

POST:  /indexers
{
indexer:
{
Description: The definition of the indexer to create. ,
Required: True ,
}
{
name:
{
Description: The name of the indexer. ,
Required: True ,
}
string ,
description:
{
Description: The description of the indexer. ,
Required: False ,
}
string ,
dataSourceName:
{
Description: The name of the datasource from which this indexer reads data. ,
Required: True ,
}
string ,
skillsetName:
{
Description: The name of the skillset executing with this indexer. ,
Required: False ,
}
string ,
targetIndexName:
{
Description: The name of the index to which this indexer writes data. ,
Required: True ,
}
string ,
schedule:
{
Description: The schedule for this indexer. ,
Required: False ,
}
{
interval:
{
Description: The interval of time between indexer executions. ,
Format: duration ,
Required: True ,
}
string ,
startTime:
{
Description: The time when an indexer should start running. ,
Format: date-time ,
Required: False ,
}
string ,
}
,
parameters:
{
Description: Parameters for indexer execution. ,
Required: False ,
}
{
batchSize:
{
Description: The number of items that are read from the data source and indexed as a single batch in order to improve performance. The default depends on the data source type. ,
Format: int32 ,
Required: False ,
}
integer ,
maxFailedItems:
{
Description: The maximum number of items that can fail indexing for indexer execution to still be considered successful. -1 means no limit. Default is 0. ,
Format: int32 ,
Required: False ,
}
integer ,
maxFailedItemsPerBatch:
{
Description: The maximum number of items in a single batch that can fail indexing for the batch to still be considered successful. -1 means no limit. Default is 0. ,
Format: int32 ,
Required: False ,
}
integer ,
configuration:
{
Description: A dictionary of indexer-specific configuration properties. Each name is the name of a specific property. Each value must be of a primitive type. ,
Required: False ,
}
{
parsingMode:
{
Description: Represents the parsing mode for indexing from an Azure blob data source. ,
Enum:
{
default: Set to default for normal file processing. ,
text: Set to text to improve indexing performance on plain text files in blob storage. ,
delimitedText: Set to delimitedText when blobs are plain CSV files. ,
json: Set to json to extract structured content from JSON files. ,
jsonArray: Set to jsonArray to extract individual elements of a JSON array as separate documents. ,
jsonLines: Set to jsonLines to extract individual JSON entities, separated by a new line, as separate documents. ,
}
,
Required: False ,
}
enum ,
excludedFileNameExtensions:
{
Description: Comma-delimited list of filename extensions to ignore when processing from Azure blob storage. For example, you could exclude ".png, .mp4" to skip over those files during indexing. ,
Required: False ,
}
string ,
indexedFileNameExtensions:
{
Description: Comma-delimited list of filename extensions to select when processing from Azure blob storage. For example, you could focus indexing on specific application files ".docx, .pptx, .msg" to specifically include those file types. ,
Required: False ,
}
string ,
failOnUnsupportedContentType:
{
Description: For Azure blobs, set to false if you want to continue indexing when an unsupported content type is encountered, and you don't know all the content types (file extensions) in advance. ,
Required: False ,
}
boolean ,
failOnUnprocessableDocument:
{
Description: For Azure blobs, set to false if you want to continue indexing if a document fails indexing. ,
Required: False ,
}
boolean ,
indexStorageMetadataOnlyForOversizedDocuments:
{
Description: For Azure blobs, set this property to true to still index storage metadata for blob content that is too large to process. Oversized blobs are treated as errors by default. For limits on blob size, see https://learn.microsoft.com/azure/search/search-limits-quotas-capacity. ,
Required: False ,
}
boolean ,
delimitedTextHeaders:
{
Description: For CSV blobs, specifies a comma-delimited list of column headers, useful for mapping source fields to destination fields in an index. ,
Required: False ,
}
string ,
delimitedTextDelimiter:
{
Description: For CSV blobs, specifies the end-of-line single-character delimiter for CSV files where each line starts a new document (for example, "|"). ,
Required: False ,
}
string ,
firstLineContainsHeaders:
{
Description: For CSV blobs, indicates that the first (non-blank) line of each blob contains headers. ,
Required: False ,
}
boolean ,
documentRoot:
{
Description: For JSON arrays, given a structured or semi-structured document, you can specify a path to the array using this property. ,
Required: False ,
}
string ,
dataToExtract:
{
Description: Specifies the data to extract from Azure blob storage and tells the indexer which data to extract from image content when "imageAction" is set to a value other than "none". This applies to embedded image content in a .PDF or other application, or image files such as .jpg and .png, in Azure blobs. ,
Enum:
{
storageMetadata: Indexes just the standard blob properties and user-specified metadata. ,
allMetadata: Extracts metadata provided by the Azure blob storage subsystem and the content-type specific metadata (for example, metadata unique to just .png files are indexed). ,
contentAndMetadata: Extracts all metadata and textual content from each blob. ,
}
,
Required: False ,
}
enum ,
imageAction:
{
Description: Determines how to process embedded images and image files in Azure blob storage. Setting the "imageAction" configuration to any value other than "none" requires that a skillset also be attached to that indexer. ,
Enum:
{
none: Ignores embedded images or image files in the data set. This is the default. ,
generateNormalizedImages: Extracts text from images (for example, the word "STOP" from a traffic stop sign), and embeds it into the content field. This action requires that "dataToExtract" is set to "contentAndMetadata". A normalized image refers to additional processing resulting in uniform image output, sized and rotated to promote consistent rendering when you include images in visual search results. This information is generated for each image when you use this option. ,
generateNormalizedImagePerPage: Extracts text from images (for example, the word "STOP" from a traffic stop sign), and embeds it into the content field, but treats PDF files differently in that each page will be rendered as an image and normalized accordingly, instead of extracting embedded images. Non-PDF file types will be treated the same as if "generateNormalizedImages" was set. ,
}
,
Required: False ,
}
enum ,
allowSkillsetToReadFileData:
{
Description: If true, will create a path //document//file_data that is an object representing the original file data downloaded from your blob data source. This allows you to pass the original file data to a custom skill for processing within the enrichment pipeline, or to the Document Extraction skill. ,
Required: False ,
}
boolean ,
pdfTextRotationAlgorithm:
{
Description: Determines algorithm for text extraction from PDF files in Azure blob storage. ,
Enum:
{
none: Leverages normal text extraction. This is the default. ,
detectAngles: May produce better and more readable text extraction from PDF files that have rotated text within them. Note that there may be a small performance speed impact when this parameter is used. This parameter only applies to PDF files, and only to PDFs with embedded text. If the rotated text appears within an embedded image in the PDF, this parameter does not apply. ,
}
,
Required: False ,
}
enum ,
executionEnvironment:
{
Description: Specifies the environment in which the indexer should execute. ,
Enum:
{
standard: Indicates that the search service can determine where the indexer should execute. This is the default environment when nothing is specified and is the recommended value. ,
private: Indicates that the indexer should run with the environment provisioned specifically for the search service. This should only be specified as the execution environment if the indexer needs to access resources securely over shared private link resources. ,
}
,
Required: False ,
}
enum ,
queryTimeout:
{
Description: Increases the timeout beyond the 5-minute default for Azure SQL database data sources, specified in the format "hh:mm:ss". ,
Required: False ,
}
string ,
}
,
}
,
fieldMappings:
{
Description: Defines mappings between fields in the data source and corresponding target fields in the index. ,
Required: False ,
}
[
{
sourceFieldName:
{
Description: The name of the field in the data source. ,
Required: True ,
}
string ,
targetFieldName:
{
Description: The name of the target field in the index. Same as the source field name by default. ,
Required: False ,
}
string ,
mappingFunction:
{
Description: A function to apply to each source field value before indexing. ,
Required: False ,
}
{
name:
{
Description: The name of the field mapping function. ,
Required: True ,
}
string ,
parameters:
{
Description: A dictionary of parameter name/value pairs to pass to the function. Each value must be of a primitive type. ,
Required: False ,
}
object ,
}
,
}
,
]
,
outputFieldMappings:
{
Description: Output field mappings are applied after enrichment and immediately before indexing. ,
Required: False ,
}
[
{
sourceFieldName:
{
Description: The name of the field in the data source. ,
Required: True ,
}
string ,
targetFieldName:
{
Description: The name of the target field in the index. Same as the source field name by default. ,
Required: False ,
}
string ,
mappingFunction:
{
Description: A function to apply to each source field value before indexing. ,
Required: False ,
}
{
name:
{
Description: The name of the field mapping function. ,
Required: True ,
}
string ,
parameters:
{
Description: A dictionary of parameter name/value pairs to pass to the function. Each value must be of a primitive type. ,
Required: False ,
}
object ,
}
,
}
,
]
,
disabled:
{
Description: A value indicating whether the indexer is disabled. Default is false. ,
Required: False ,
}
boolean ,
@odata.etag:
{
Description: The ETag of the indexer. ,
Required: False ,
}
string ,
encryptionKey:
{
Description: A description of an encryption key that you create in Azure Key Vault. This key is used to provide an additional level of encryption-at-rest for your indexer definition (as well as indexer execution status) when you want full assurance that no one, not even Microsoft, can decrypt them. Once you have encrypted your indexer definition, it will always remain encrypted. The search service will ignore attempts to set this property to null. You can change this property as needed if you want to rotate your encryption key; Your indexer definition (and indexer execution status) will be unaffected. Encryption with customer-managed keys is not available for free search services, and is only available for paid services created on or after January 1, 2019. ,
Required: False ,
}
{
keyVaultKeyName:
{
Description: The name of your Azure Key Vault key to be used to encrypt your data at rest. ,
Required: True ,
}
string ,
keyVaultKeyVersion:
{
Description: The version of your Azure Key Vault key to be used to encrypt your data at rest. ,
Required: True ,
}
string ,
keyVaultUri:
{
Description: The URI of your Azure Key Vault, also referred to as DNS name, that contains the key to be used to encrypt your data at rest. An example URI might be `https://my-keyvault-name.vault.azure.net`. ,
Required: True ,
}
string ,
accessCredentials:
{
Description: Optional Azure Active Directory credentials used for accessing your Azure Key Vault. Not required if using managed identity instead. ,
Required: False ,
}
{
applicationId:
{
Description: An AAD Application ID that was granted the required access permissions to the Azure Key Vault that is to be used when encrypting your data at rest. The Application ID should not be confused with the Object ID for your AAD Application. ,
Required: True ,
}
string ,
applicationSecret:
{
Description: The authentication key of the specified AAD application. ,
Required: False ,
}
string ,
}
,
}
,
}
,
x-ms-client-request-id:
{
Description: The tracking ID sent with the request to help with debugging. ,
Format: uuid ,
Required: False ,
}
string ,
api-version:
{
Description: Client Api Version. ,
Required: True ,
}
string ,
}

⚐ Response (201)

{
name:
{
Description: The name of the indexer. ,
Required: True ,
}
string ,
description:
{
Description: The description of the indexer. ,
Required: False ,
}
string ,
dataSourceName:
{
Description: The name of the datasource from which this indexer reads data. ,
Required: True ,
}
string ,
skillsetName:
{
Description: The name of the skillset executing with this indexer. ,
Required: False ,
}
string ,
targetIndexName:
{
Description: The name of the index to which this indexer writes data. ,
Required: True ,
}
string ,
schedule:
{
Description: The schedule for this indexer. ,
Required: False ,
}
{
interval:
{
Description: The interval of time between indexer executions. ,
Format: duration ,
Required: True ,
}
string ,
startTime:
{
Description: The time when an indexer should start running. ,
Format: date-time ,
Required: False ,
}
string ,
}
,
parameters:
{
Description: Parameters for indexer execution. ,
Required: False ,
}
{
batchSize:
{
Description: The number of items that are read from the data source and indexed as a single batch in order to improve performance. The default depends on the data source type. ,
Format: int32 ,
Required: False ,
}
integer ,
maxFailedItems:
{
Description: The maximum number of items that can fail indexing for indexer execution to still be considered successful. -1 means no limit. Default is 0. ,
Format: int32 ,
Required: False ,
}
integer ,
maxFailedItemsPerBatch:
{
Description: The maximum number of items in a single batch that can fail indexing for the batch to still be considered successful. -1 means no limit. Default is 0. ,
Format: int32 ,
Required: False ,
}
integer ,
configuration:
{
Description: A dictionary of indexer-specific configuration properties. Each name is the name of a specific property. Each value must be of a primitive type. ,
Required: False ,
}
{
parsingMode:
{
Description: Represents the parsing mode for indexing from an Azure blob data source. ,
Enum:
{
default: Set to default for normal file processing. ,
text: Set to text to improve indexing performance on plain text files in blob storage. ,
delimitedText: Set to delimitedText when blobs are plain CSV files. ,
json: Set to json to extract structured content from JSON files. ,
jsonArray: Set to jsonArray to extract individual elements of a JSON array as separate documents. ,
jsonLines: Set to jsonLines to extract individual JSON entities, separated by a new line, as separate documents. ,
}
,
Required: False ,
}
enum ,
excludedFileNameExtensions:
{
Description: Comma-delimited list of filename extensions to ignore when processing from Azure blob storage. For example, you could exclude ".png, .mp4" to skip over those files during indexing. ,
Required: False ,
}
string ,
indexedFileNameExtensions:
{
Description: Comma-delimited list of filename extensions to select when processing from Azure blob storage. For example, you could focus indexing on specific application files ".docx, .pptx, .msg" to specifically include those file types. ,
Required: False ,
}
string ,
failOnUnsupportedContentType:
{
Description: For Azure blobs, set to false if you want to continue indexing when an unsupported content type is encountered, and you don't know all the content types (file extensions) in advance. ,
Required: False ,
}
boolean ,
failOnUnprocessableDocument:
{
Description: For Azure blobs, set to false if you want to continue indexing if a document fails indexing. ,
Required: False ,
}
boolean ,
indexStorageMetadataOnlyForOversizedDocuments:
{
Description: For Azure blobs, set this property to true to still index storage metadata for blob content that is too large to process. Oversized blobs are treated as errors by default. For limits on blob size, see https://learn.microsoft.com/azure/search/search-limits-quotas-capacity. ,
Required: False ,
}
boolean ,
delimitedTextHeaders:
{
Description: For CSV blobs, specifies a comma-delimited list of column headers, useful for mapping source fields to destination fields in an index. ,
Required: False ,
}
string ,
delimitedTextDelimiter:
{
Description: For CSV blobs, specifies the end-of-line single-character delimiter for CSV files where each line starts a new document (for example, "|"). ,
Required: False ,
}
string ,
firstLineContainsHeaders:
{
Description: For CSV blobs, indicates that the first (non-blank) line of each blob contains headers. ,
Required: False ,
}
boolean ,
documentRoot:
{
Description: For JSON arrays, given a structured or semi-structured document, you can specify a path to the array using this property. ,
Required: False ,
}
string ,
dataToExtract:
{
Description: Specifies the data to extract from Azure blob storage and tells the indexer which data to extract from image content when "imageAction" is set to a value other than "none". This applies to embedded image content in a .PDF or other application, or image files such as .jpg and .png, in Azure blobs. ,
Enum:
{
storageMetadata: Indexes just the standard blob properties and user-specified metadata. ,
allMetadata: Extracts metadata provided by the Azure blob storage subsystem and the content-type specific metadata (for example, metadata unique to just .png files are indexed). ,
contentAndMetadata: Extracts all metadata and textual content from each blob. ,
}
,
Required: False ,
}
enum ,
imageAction:
{
Description: Determines how to process embedded images and image files in Azure blob storage. Setting the "imageAction" configuration to any value other than "none" requires that a skillset also be attached to that indexer. ,
Enum:
{
none: Ignores embedded images or image files in the data set. This is the default. ,
generateNormalizedImages: Extracts text from images (for example, the word "STOP" from a traffic stop sign), and embeds it into the content field. This action requires that "dataToExtract" is set to "contentAndMetadata". A normalized image refers to additional processing resulting in uniform image output, sized and rotated to promote consistent rendering when you include images in visual search results. This information is generated for each image when you use this option. ,
generateNormalizedImagePerPage: Extracts text from images (for example, the word "STOP" from a traffic stop sign), and embeds it into the content field, but treats PDF files differently in that each page will be rendered as an image and normalized accordingly, instead of extracting embedded images. Non-PDF file types will be treated the same as if "generateNormalizedImages" was set. ,
}
,
Required: False ,
}
enum ,
allowSkillsetToReadFileData:
{
Description: If true, will create a path //document//file_data that is an object representing the original file data downloaded from your blob data source. This allows you to pass the original file data to a custom skill for processing within the enrichment pipeline, or to the Document Extraction skill. ,
Required: False ,
}
boolean ,
pdfTextRotationAlgorithm:
{
Description: Determines algorithm for text extraction from PDF files in Azure blob storage. ,
Enum:
{
none: Leverages normal text extraction. This is the default. ,
detectAngles: May produce better and more readable text extraction from PDF files that have rotated text within them. Note that there may be a small performance speed impact when this parameter is used. This parameter only applies to PDF files, and only to PDFs with embedded text. If the rotated text appears within an embedded image in the PDF, this parameter does not apply. ,
}
,
Required: False ,
}
enum ,
executionEnvironment:
{
Description: Specifies the environment in which the indexer should execute. ,
Enum:
{
standard: Indicates that the search service can determine where the indexer should execute. This is the default environment when nothing is specified and is the recommended value. ,
private: Indicates that the indexer should run with the environment provisioned specifically for the search service. This should only be specified as the execution environment if the indexer needs to access resources securely over shared private link resources. ,
}
,
Required: False ,
}
enum ,
queryTimeout:
{
Description: Increases the timeout beyond the 5-minute default for Azure SQL database data sources, specified in the format "hh:mm:ss". ,
Required: False ,
}
string ,
}
,
}
,
fieldMappings:
{
Description: Defines mappings between fields in the data source and corresponding target fields in the index. ,
Required: False ,
}
[
{
sourceFieldName:
{
Description: The name of the field in the data source. ,
Required: True ,
}
string ,
targetFieldName:
{
Description: The name of the target field in the index. Same as the source field name by default. ,
Required: False ,
}
string ,
mappingFunction:
{
Description: A function to apply to each source field value before indexing. ,
Required: False ,
}
{
name:
{
Description: The name of the field mapping function. ,
Required: True ,
}
string ,
parameters:
{
Description: A dictionary of parameter name/value pairs to pass to the function. Each value must be of a primitive type. ,
Required: False ,
}
object ,
}
,
}
,
]
,
outputFieldMappings:
{
Description: Output field mappings are applied after enrichment and immediately before indexing. ,
Required: False ,
}
[
{
sourceFieldName:
{
Description: The name of the field in the data source. ,
Required: True ,
}
string ,
targetFieldName:
{
Description: The name of the target field in the index. Same as the source field name by default. ,
Required: False ,
}
string ,
mappingFunction:
{
Description: A function to apply to each source field value before indexing. ,
Required: False ,
}
{
name:
{
Description: The name of the field mapping function. ,
Required: True ,
}
string ,
parameters:
{
Description: A dictionary of parameter name/value pairs to pass to the function. Each value must be of a primitive type. ,
Required: False ,
}
object ,
}
,
}
,
]
,
disabled:
{
Description: A value indicating whether the indexer is disabled. Default is false. ,
Required: False ,
}
boolean ,
@odata.etag:
{
Description: The ETag of the indexer. ,
Required: False ,
}
string ,
encryptionKey:
{
Description: A description of an encryption key that you create in Azure Key Vault. This key is used to provide an additional level of encryption-at-rest for your indexer definition (as well as indexer execution status) when you want full assurance that no one, not even Microsoft, can decrypt them. Once you have encrypted your indexer definition, it will always remain encrypted. The search service will ignore attempts to set this property to null. You can change this property as needed if you want to rotate your encryption key; Your indexer definition (and indexer execution status) will be unaffected. Encryption with customer-managed keys is not available for free search services, and is only available for paid services created on or after January 1, 2019. ,
Required: False ,
}
{
keyVaultKeyName:
{
Description: The name of your Azure Key Vault key to be used to encrypt your data at rest. ,
Required: True ,
}
string ,
keyVaultKeyVersion:
{
Description: The version of your Azure Key Vault key to be used to encrypt your data at rest. ,
Required: True ,
}
string ,
keyVaultUri:
{
Description: The URI of your Azure Key Vault, also referred to as DNS name, that contains the key to be used to encrypt your data at rest. An example URI might be `https://my-keyvault-name.vault.azure.net`. ,
Required: True ,
}
string ,
accessCredentials:
{
Description: Optional Azure Active Directory credentials used for accessing your Azure Key Vault. Not required if using managed identity instead. ,
Required: False ,
}
{
applicationId:
{
Description: An AAD Application ID that was granted the required access permissions to the Azure Key Vault that is to be used when encrypting your data at rest. The Application ID should not be confused with the Object ID for your AAD Application. ,
Required: True ,
}
string ,
applicationSecret:
{
Description: The authentication key of the specified AAD application. ,
Required: False ,
}
string ,
}
,
}
,
}

⚐ Response (default)

{
error:
{
Description: The error object. ,
Required: False ,
}
{
code:
{
Description: The error code. ,
Required: False ,
}
string ,
message:
{
Description: The error message. ,
Required: False ,
}
string ,
target:
{
Description: The error target. ,
Required: False ,
}
string ,
details:
{
Description: The error details. ,
Required: False ,
}
[
string ,
]
,
additionalInfo:
{
Description: The error additional info. ,
Required: False ,
}
[
{
type:
{
Description: The additional info type. ,
Required: False ,
}
string ,
info:
{
Description: The additional info. ,
Required: False ,
}
object ,
}
,
]
,
}
,
}
Indexers_GetStatus (new)
Description :  Returns the current status and execution history of an indexer.
Reference :  Link ¶

⚼ Request

GET:  /indexers('{indexerName}')/search.status
{
indexerName:
{
Description: The name of the indexer for which to retrieve status. ,
Required: True ,
}
string ,
x-ms-client-request-id:
{
Description: The tracking ID sent with the request to help with debugging. ,
Format: uuid ,
Required: False ,
}
string ,
api-version:
{
Description: Client Api Version. ,
Required: True ,
}
string ,
}

⚐ Response (200)

{
name:
{
Description: The name of the indexer. ,
Required: True ,
}
string ,
status:
{
Description: Overall indexer status. ,
Enum:
{
unknown: Indicates that the indexer is in an unknown state. ,
error: Indicates that the indexer experienced an error that cannot be corrected without human intervention. ,
running: Indicates that the indexer is running normally. ,
}
,
Required: True ,
}
enum ,
lastResult:
{
Description: The result of the most recent or an in-progress indexer execution. ,
Required: False ,
}
{
status:
{
Description: The outcome of this indexer execution. ,
Enum:
{
transientFailure: An indexer invocation has failed, but the failure may be transient. Indexer invocations will continue per schedule. ,
success: Indexer execution completed successfully. ,
inProgress: Indexer execution is in progress. ,
reset: Indexer has been reset. ,
}
,
Required: True ,
}
enum ,
errorMessage:
{
Description: The error message indicating the top-level error, if any. ,
Required: False ,
}
string ,
startTime:
{
Description: The start time of this indexer execution. ,
Format: date-time ,
Required: False ,
}
string ,
endTime:
{
Description: The end time of this indexer execution, if the execution has already completed. ,
Format: date-time ,
Required: False ,
}
string ,
errors:
{
Description: The item-level indexing errors. ,
Required: True ,
}
[
{
key:
{
Description: The key of the item for which indexing failed. ,
Required: False ,
}
string ,
errorMessage:
{
Description: The message describing the error that occurred while processing the item. ,
Required: True ,
}
string ,
statusCode:
{
Description: The status code indicating why the indexing operation failed. Possible values include: 400 for a malformed input document, 404 for document not found, 409 for a version conflict, 422 when the index is temporarily unavailable, or 503 for when the service is too busy. ,
Format: int32 ,
Required: True ,
}
integer ,
name:
{
Description: The name of the source at which the error originated. For example, this could refer to a particular skill in the attached skillset. This may not be always available. ,
Required: False ,
}
string ,
details:
{
Description: Additional, verbose details about the error to assist in debugging the indexer. This may not be always available. ,
Required: False ,
}
string ,
documentationLink:
{
Description: A link to a troubleshooting guide for these classes of errors. This may not be always available. ,
Required: False ,
}
string ,
}
,
]
,
warnings:
{
Description: The item-level indexing warnings. ,
Required: True ,
}
[
{
key:
{
Description: The key of the item which generated a warning. ,
Required: False ,
}
string ,
message:
{
Description: The message describing the warning that occurred while processing the item. ,
Required: True ,
}
string ,
name:
{
Description: The name of the source at which the warning originated. For example, this could refer to a particular skill in the attached skillset. This may not be always available. ,
Required: False ,
}
string ,
details:
{
Description: Additional, verbose details about the warning to assist in debugging the indexer. This may not be always available. ,
Required: False ,
}
string ,
documentationLink:
{
Description: A link to a troubleshooting guide for these classes of warnings. This may not be always available. ,
Required: False ,
}
string ,
}
,
]
,
itemsProcessed:
{
Description: The number of items that were processed during this indexer execution. This includes both successfully processed items and items where indexing was attempted but failed. ,
Format: int32 ,
Required: True ,
}
integer ,
itemsFailed:
{
Description: The number of items that failed to be indexed during this indexer execution. ,
Format: int32 ,
Required: True ,
}
integer ,
initialTrackingState:
{
Description: Change tracking state with which an indexer execution started. ,
Required: False ,
}
string ,
finalTrackingState:
{
Description: Change tracking state with which an indexer execution finished. ,
Required: False ,
}
string ,
}
,
executionHistory:
{
Description: History of the recent indexer executions, sorted in reverse chronological order. ,
Required: True ,
}
[
{
status:
{
Description: The outcome of this indexer execution. ,
Enum:
{
transientFailure: An indexer invocation has failed, but the failure may be transient. Indexer invocations will continue per schedule. ,
success: Indexer execution completed successfully. ,
inProgress: Indexer execution is in progress. ,
reset: Indexer has been reset. ,
}
,
Required: True ,
}
enum ,
errorMessage:
{
Description: The error message indicating the top-level error, if any. ,
Required: False ,
}
string ,
startTime:
{
Description: The start time of this indexer execution. ,
Format: date-time ,
Required: False ,
}
string ,
endTime:
{
Description: The end time of this indexer execution, if the execution has already completed. ,
Format: date-time ,
Required: False ,
}
string ,
errors:
{
Description: The item-level indexing errors. ,
Required: True ,
}
[
{
key:
{
Description: The key of the item for which indexing failed. ,
Required: False ,
}
string ,
errorMessage:
{
Description: The message describing the error that occurred while processing the item. ,
Required: True ,
}
string ,
statusCode:
{
Description: The status code indicating why the indexing operation failed. Possible values include: 400 for a malformed input document, 404 for document not found, 409 for a version conflict, 422 when the index is temporarily unavailable, or 503 for when the service is too busy. ,
Format: int32 ,
Required: True ,
}
integer ,
name:
{
Description: The name of the source at which the error originated. For example, this could refer to a particular skill in the attached skillset. This may not be always available. ,
Required: False ,
}
string ,
details:
{
Description: Additional, verbose details about the error to assist in debugging the indexer. This may not be always available. ,
Required: False ,
}
string ,
documentationLink:
{
Description: A link to a troubleshooting guide for these classes of errors. This may not be always available. ,
Required: False ,
}
string ,
}
,
]
,
warnings:
{
Description: The item-level indexing warnings. ,
Required: True ,
}
[
{
key:
{
Description: The key of the item which generated a warning. ,
Required: False ,
}
string ,
message:
{
Description: The message describing the warning that occurred while processing the item. ,
Required: True ,
}
string ,
name:
{
Description: The name of the source at which the warning originated. For example, this could refer to a particular skill in the attached skillset. This may not be always available. ,
Required: False ,
}
string ,
details:
{
Description: Additional, verbose details about the warning to assist in debugging the indexer. This may not be always available. ,
Required: False ,
}
string ,
documentationLink:
{
Description: A link to a troubleshooting guide for these classes of warnings. This may not be always available. ,
Required: False ,
}
string ,
}
,
]
,
itemsProcessed:
{
Description: The number of items that were processed during this indexer execution. This includes both successfully processed items and items where indexing was attempted but failed. ,
Format: int32 ,
Required: True ,
}
integer ,
itemsFailed:
{
Description: The number of items that failed to be indexed during this indexer execution. ,
Format: int32 ,
Required: True ,
}
integer ,
initialTrackingState:
{
Description: Change tracking state with which an indexer execution started. ,
Required: False ,
}
string ,
finalTrackingState:
{
Description: Change tracking state with which an indexer execution finished. ,
Required: False ,
}
string ,
}
,
]
,
limits:
{
Description: The execution limits for the indexer. ,
Required: True ,
}
{
maxRunTime:
{
Description: The maximum duration that the indexer is permitted to run for one execution. ,
Format: duration ,
Required: False ,
}
string ,
maxDocumentExtractionSize:
{
Description: The maximum size of a document, in bytes, which will be considered valid for indexing. ,
Format: int64 ,
Required: False ,
}
number ,
maxDocumentContentCharactersToExtract:
{
Description: The maximum number of characters that will be extracted from a document picked up for indexing. ,
Format: int64 ,
Required: False ,
}
number ,
}
,
}

⚐ Response (default)

{
error:
{
Description: The error object. ,
Required: False ,
}
{
code:
{
Description: The error code. ,
Required: False ,
}
string ,
message:
{
Description: The error message. ,
Required: False ,
}
string ,
target:
{
Description: The error target. ,
Required: False ,
}
string ,
details:
{
Description: The error details. ,
Required: False ,
}
[
string ,
]
,
additionalInfo:
{
Description: The error additional info. ,
Required: False ,
}
[
{
type:
{
Description: The additional info type. ,
Required: False ,
}
string ,
info:
{
Description: The additional info. ,
Required: False ,
}
object ,
}
,
]
,
}
,
}
Skillsets_CreateOrUpdate (new)
Description :  Creates a new skillset in a search service or updates the skillset if it already exists.
Reference :  Link ¶

⚼ Request

PUT:  /skillsets('{skillsetName}')
{
skillsetName:
{
Description: The name of the skillset to create or update. ,
Required: True ,
}
string ,
skillset:
{
Description: The skillset containing one or more skills to create or update in a search service. ,
Required: True ,
}
{
name:
{
Description: The name of the skillset. ,
Required: True ,
}
string ,
description:
{
Description: The description of the skillset. ,
Required: False ,
}
string ,
skills:
{
Description: A list of skills in the skillset. ,
Required: True ,
}
[
{
@odata.type:
{
Description: A URI fragment specifying the type of skill. ,
Required: True ,
}
string ,
name:
{
Description: The name of the skill which uniquely identifies it within the skillset. A skill with no name defined will be given a default name of its 1-based index in the skills array, prefixed with the character '#'. ,
Required: False ,
}
string ,
description:
{
Description: The description of the skill which describes the inputs, outputs, and usage of the skill. ,
Required: False ,
}
string ,
context:
{
Description: Represents the level at which operations take place, such as the document root or document content (for example, /document or /document/content). The default is /document. ,
Required: False ,
}
string ,
inputs:
{
Description: Inputs of the skills could be a column in the source data set, or the output of an upstream skill. ,
Required: True ,
}
[
{
name:
{
Description: The name of the input. ,
Required: True ,
}
string ,
source:
{
Description: The source of the input. ,
Required: False ,
}
string ,
sourceContext:
{
Description: The source context used for selecting recursive inputs. ,
Required: False ,
}
string ,
inputs:
{
Description: The recursive inputs used when creating a complex type. ,
Required: False ,
}
[
string ,
]
,
}
,
]
,
outputs:
{
Description: The output of a skill is either a field in a search index, or a value that can be consumed as an input by another skill. ,
Required: True ,
}
[
{
name:
{
Description: The name of the output defined by the skill. ,
Required: True ,
}
string ,
targetName:
{
Description: The target name of the output. It is optional and default to name. ,
Required: False ,
}
string ,
}
,
]
,
}
,
]
,
cognitiveServices:
{
Description: Details about the Azure AI service to be used when running skills. ,
Required: False ,
}
{
@odata.type:
{
Description: A URI fragment specifying the type of Azure AI service resource attached to a skillset. ,
Required: True ,
}
string ,
description:
{
Description: Description of the Azure AI service resource attached to a skillset. ,
Required: False ,
}
string ,
}
,
knowledgeStore:
{
Description: Definition of additional projections to Azure blob, table, or files, of enriched data. ,
Required: False ,
}
{
storageConnectionString:
{
Description: The connection string to the storage account projections will be stored in. ,
Required: True ,
}
string ,
projections:
{
Description: A list of additional projections to perform during indexing. ,
Required: True ,
}
[
{
tables:
{
Description: Projections to Azure Table storage. ,
Required: False ,
}
[
{
tableName:
{
Description: Name of the Azure table to store projected data in. ,
Required: True ,
}
string ,
}
,
]
,
objects:
{
Description: Projections to Azure Blob storage. ,
Required: False ,
}
[
object ,
]
,
files:
{
Description: Projections to Azure File storage. ,
Required: False ,
}
[
object ,
]
,
}
,
]
,
}
,
indexProjections:
{
Description: Definition of additional projections to secondary search index(es). ,
Required: False ,
}
{
selectors:
{
Description: A list of projections to be performed to secondary search indexes. ,
Required: True ,
}
[
{
targetIndexName:
{
Description: Name of the search index to project to. Must have a key field with the 'keyword' analyzer set. ,
Required: True ,
}
string ,
parentKeyFieldName:
{
Description: Name of the field in the search index to map the parent document's key value to. Must be a string field that is filterable and not the key field. ,
Required: True ,
}
string ,
sourceContext:
{
Description: Source context for the projections. Represents the cardinality at which the document will be split into multiple sub documents. ,
Required: True ,
}
string ,
mappings:
{
Description: Mappings for the projection, or which source should be mapped to which field in the target index. ,
Required: True ,
}
[
{
name:
{
Description: The name of the input. ,
Required: True ,
}
string ,
source:
{
Description: The source of the input. ,
Required: False ,
}
string ,
sourceContext:
{
Description: The source context used for selecting recursive inputs. ,
Required: False ,
}
string ,
inputs:
{
Description: The recursive inputs used when creating a complex type. ,
Required: False ,
}
[
string ,
]
,
}
,
]
,
}
,
]
,
parameters:
{
Description: A dictionary of index projection-specific configuration properties. Each name is the name of a specific property. Each value must be of a primitive type. ,
Required: False ,
}
{
projectionMode:
{
Description: Defines behavior of the index projections in relation to the rest of the indexer. ,
Enum:
{
skipIndexingParentDocuments: The source document will be skipped from writing into the indexer's target index. ,
includeIndexingParentDocuments: The source document will be written into the indexer's target index. This is the default pattern. ,
}
,
Required: False ,
}
enum ,
}
,
}
,
@odata.etag:
{
Description: The ETag of the skillset. ,
Required: False ,
}
string ,
encryptionKey:
{
Description: A description of an encryption key that you create in Azure Key Vault. This key is used to provide an additional level of encryption-at-rest for your skillset definition when you want full assurance that no one, not even Microsoft, can decrypt your skillset definition. Once you have encrypted your skillset definition, it will always remain encrypted. The search service will ignore attempts to set this property to null. You can change this property as needed if you want to rotate your encryption key; Your skillset definition will be unaffected. Encryption with customer-managed keys is not available for free search services, and is only available for paid services created on or after January 1, 2019. ,
Required: False ,
}
{
keyVaultKeyName:
{
Description: The name of your Azure Key Vault key to be used to encrypt your data at rest. ,
Required: True ,
}
string ,
keyVaultKeyVersion:
{
Description: The version of your Azure Key Vault key to be used to encrypt your data at rest. ,
Required: True ,
}
string ,
keyVaultUri:
{
Description: The URI of your Azure Key Vault, also referred to as DNS name, that contains the key to be used to encrypt your data at rest. An example URI might be `https://my-keyvault-name.vault.azure.net`. ,
Required: True ,
}
string ,
accessCredentials:
{
Description: Optional Azure Active Directory credentials used for accessing your Azure Key Vault. Not required if using managed identity instead. ,
Required: False ,
}
{
applicationId:
{
Description: An AAD Application ID that was granted the required access permissions to the Azure Key Vault that is to be used when encrypting your data at rest. The Application ID should not be confused with the Object ID for your AAD Application. ,
Required: True ,
}
string ,
applicationSecret:
{
Description: The authentication key of the specified AAD application. ,
Required: False ,
}
string ,
}
,
}
,
}
,
x-ms-client-request-id:
{
Description: The tracking ID sent with the request to help with debugging. ,
Format: uuid ,
Required: False ,
}
string ,
If-Match:
{
Description: Defines the If-Match condition. The operation will be performed only if the ETag on the server matches this value. ,
Required: False ,
}
string ,
If-None-Match:
{
Description: Defines the If-None-Match condition. The operation will be performed only if the ETag on the server does not match this value. ,
Required: False ,
}
string ,
Prefer:
{
Description: For HTTP PUT requests, instructs the service to return the created/updated resource on success. ,
Required: True ,
}
string ,
api-version:
{
Description: Client Api Version. ,
Required: True ,
}
string ,
}

⚐ Response (200)

{
name:
{
Description: The name of the skillset. ,
Required: True ,
}
string ,
description:
{
Description: The description of the skillset. ,
Required: False ,
}
string ,
skills:
{
Description: A list of skills in the skillset. ,
Required: True ,
}
[
{
@odata.type:
{
Description: A URI fragment specifying the type of skill. ,
Required: True ,
}
string ,
name:
{
Description: The name of the skill which uniquely identifies it within the skillset. A skill with no name defined will be given a default name of its 1-based index in the skills array, prefixed with the character '#'. ,
Required: False ,
}
string ,
description:
{
Description: The description of the skill which describes the inputs, outputs, and usage of the skill. ,
Required: False ,
}
string ,
context:
{
Description: Represents the level at which operations take place, such as the document root or document content (for example, /document or /document/content). The default is /document. ,
Required: False ,
}
string ,
inputs:
{
Description: Inputs of the skills could be a column in the source data set, or the output of an upstream skill. ,
Required: True ,
}
[
{
name:
{
Description: The name of the input. ,
Required: True ,
}
string ,
source:
{
Description: The source of the input. ,
Required: False ,
}
string ,
sourceContext:
{
Description: The source context used for selecting recursive inputs. ,
Required: False ,
}
string ,
inputs:
{
Description: The recursive inputs used when creating a complex type. ,
Required: False ,
}
[
string ,
]
,
}
,
]
,
outputs:
{
Description: The output of a skill is either a field in a search index, or a value that can be consumed as an input by another skill. ,
Required: True ,
}
[
{
name:
{
Description: The name of the output defined by the skill. ,
Required: True ,
}
string ,
targetName:
{
Description: The target name of the output. It is optional and default to name. ,
Required: False ,
}
string ,
}
,
]
,
}
,
]
,
cognitiveServices:
{
Description: Details about the Azure AI service to be used when running skills. ,
Required: False ,
}
{
@odata.type:
{
Description: A URI fragment specifying the type of Azure AI service resource attached to a skillset. ,
Required: True ,
}
string ,
description:
{
Description: Description of the Azure AI service resource attached to a skillset. ,
Required: False ,
}
string ,
}
,
knowledgeStore:
{
Description: Definition of additional projections to Azure blob, table, or files, of enriched data. ,
Required: False ,
}
{
storageConnectionString:
{
Description: The connection string to the storage account projections will be stored in. ,
Required: True ,
}
string ,
projections:
{
Description: A list of additional projections to perform during indexing. ,
Required: True ,
}
[
{
tables:
{
Description: Projections to Azure Table storage. ,
Required: False ,
}
[
{
tableName:
{
Description: Name of the Azure table to store projected data in. ,
Required: True ,
}
string ,
}
,
]
,
objects:
{
Description: Projections to Azure Blob storage. ,
Required: False ,
}
[
object ,
]
,
files:
{
Description: Projections to Azure File storage. ,
Required: False ,
}
[
object ,
]
,
}
,
]
,
}
,
indexProjections:
{
Description: Definition of additional projections to secondary search index(es). ,
Required: False ,
}
{
selectors:
{
Description: A list of projections to be performed to secondary search indexes. ,
Required: True ,
}
[
{
targetIndexName:
{
Description: Name of the search index to project to. Must have a key field with the 'keyword' analyzer set. ,
Required: True ,
}
string ,
parentKeyFieldName:
{
Description: Name of the field in the search index to map the parent document's key value to. Must be a string field that is filterable and not the key field. ,
Required: True ,
}
string ,
sourceContext:
{
Description: Source context for the projections. Represents the cardinality at which the document will be split into multiple sub documents. ,
Required: True ,
}
string ,
mappings:
{
Description: Mappings for the projection, or which source should be mapped to which field in the target index. ,
Required: True ,
}
[
{
name:
{
Description: The name of the input. ,
Required: True ,
}
string ,
source:
{
Description: The source of the input. ,
Required: False ,
}
string ,
sourceContext:
{
Description: The source context used for selecting recursive inputs. ,
Required: False ,
}
string ,
inputs:
{
Description: The recursive inputs used when creating a complex type. ,
Required: False ,
}
[
string ,
]
,
}
,
]
,
}
,
]
,
parameters:
{
Description: A dictionary of index projection-specific configuration properties. Each name is the name of a specific property. Each value must be of a primitive type. ,
Required: False ,
}
{
projectionMode:
{
Description: Defines behavior of the index projections in relation to the rest of the indexer. ,
Enum:
{
skipIndexingParentDocuments: The source document will be skipped from writing into the indexer's target index. ,
includeIndexingParentDocuments: The source document will be written into the indexer's target index. This is the default pattern. ,
}
,
Required: False ,
}
enum ,
}
,
}
,
@odata.etag:
{
Description: The ETag of the skillset. ,
Required: False ,
}
string ,
encryptionKey:
{
Description: A description of an encryption key that you create in Azure Key Vault. This key is used to provide an additional level of encryption-at-rest for your skillset definition when you want full assurance that no one, not even Microsoft, can decrypt your skillset definition. Once you have encrypted your skillset definition, it will always remain encrypted. The search service will ignore attempts to set this property to null. You can change this property as needed if you want to rotate your encryption key; Your skillset definition will be unaffected. Encryption with customer-managed keys is not available for free search services, and is only available for paid services created on or after January 1, 2019. ,
Required: False ,
}
{
keyVaultKeyName:
{
Description: The name of your Azure Key Vault key to be used to encrypt your data at rest. ,
Required: True ,
}
string ,
keyVaultKeyVersion:
{
Description: The version of your Azure Key Vault key to be used to encrypt your data at rest. ,
Required: True ,
}
string ,
keyVaultUri:
{
Description: The URI of your Azure Key Vault, also referred to as DNS name, that contains the key to be used to encrypt your data at rest. An example URI might be `https://my-keyvault-name.vault.azure.net`. ,
Required: True ,
}
string ,
accessCredentials:
{
Description: Optional Azure Active Directory credentials used for accessing your Azure Key Vault. Not required if using managed identity instead. ,
Required: False ,
}
{
applicationId:
{
Description: An AAD Application ID that was granted the required access permissions to the Azure Key Vault that is to be used when encrypting your data at rest. The Application ID should not be confused with the Object ID for your AAD Application. ,
Required: True ,
}
string ,
applicationSecret:
{
Description: The authentication key of the specified AAD application. ,
Required: False ,
}
string ,
}
,
}
,
}

⚐ Response (201)

{
name:
{
Description: The name of the skillset. ,
Required: True ,
}
string ,
description:
{
Description: The description of the skillset. ,
Required: False ,
}
string ,
skills:
{
Description: A list of skills in the skillset. ,
Required: True ,
}
[
{
@odata.type:
{
Description: A URI fragment specifying the type of skill. ,
Required: True ,
}
string ,
name:
{
Description: The name of the skill which uniquely identifies it within the skillset. A skill with no name defined will be given a default name of its 1-based index in the skills array, prefixed with the character '#'. ,
Required: False ,
}
string ,
description:
{
Description: The description of the skill which describes the inputs, outputs, and usage of the skill. ,
Required: False ,
}
string ,
context:
{
Description: Represents the level at which operations take place, such as the document root or document content (for example, /document or /document/content). The default is /document. ,
Required: False ,
}
string ,
inputs:
{
Description: Inputs of the skills could be a column in the source data set, or the output of an upstream skill. ,
Required: True ,
}
[
{
name:
{
Description: The name of the input. ,
Required: True ,
}
string ,
source:
{
Description: The source of the input. ,
Required: False ,
}
string ,
sourceContext:
{
Description: The source context used for selecting recursive inputs. ,
Required: False ,
}
string ,
inputs:
{
Description: The recursive inputs used when creating a complex type. ,
Required: False ,
}
[
string ,
]
,
}
,
]
,
outputs:
{
Description: The output of a skill is either a field in a search index, or a value that can be consumed as an input by another skill. ,
Required: True ,
}
[
{
name:
{
Description: The name of the output defined by the skill. ,
Required: True ,
}
string ,
targetName:
{
Description: The target name of the output. It is optional and default to name. ,
Required: False ,
}
string ,
}
,
]
,
}
,
]
,
cognitiveServices:
{
Description: Details about the Azure AI service to be used when running skills. ,
Required: False ,
}
{
@odata.type:
{
Description: A URI fragment specifying the type of Azure AI service resource attached to a skillset. ,
Required: True ,
}
string ,
description:
{
Description: Description of the Azure AI service resource attached to a skillset. ,
Required: False ,
}
string ,
}
,
knowledgeStore:
{
Description: Definition of additional projections to Azure blob, table, or files, of enriched data. ,
Required: False ,
}
{
storageConnectionString:
{
Description: The connection string to the storage account projections will be stored in. ,
Required: True ,
}
string ,
projections:
{
Description: A list of additional projections to perform during indexing. ,
Required: True ,
}
[
{
tables:
{
Description: Projections to Azure Table storage. ,
Required: False ,
}
[
{
tableName:
{
Description: Name of the Azure table to store projected data in. ,
Required: True ,
}
string ,
}
,
]
,
objects:
{
Description: Projections to Azure Blob storage. ,
Required: False ,
}
[
object ,
]
,
files:
{
Description: Projections to Azure File storage. ,
Required: False ,
}
[
object ,
]
,
}
,
]
,
}
,
indexProjections:
{
Description: Definition of additional projections to secondary search index(es). ,
Required: False ,
}
{
selectors:
{
Description: A list of projections to be performed to secondary search indexes. ,
Required: True ,
}
[
{
targetIndexName:
{
Description: Name of the search index to project to. Must have a key field with the 'keyword' analyzer set. ,
Required: True ,
}
string ,
parentKeyFieldName:
{
Description: Name of the field in the search index to map the parent document's key value to. Must be a string field that is filterable and not the key field. ,
Required: True ,
}
string ,
sourceContext:
{
Description: Source context for the projections. Represents the cardinality at which the document will be split into multiple sub documents. ,
Required: True ,
}
string ,
mappings:
{
Description: Mappings for the projection, or which source should be mapped to which field in the target index. ,
Required: True ,
}
[
{
name:
{
Description: The name of the input. ,
Required: True ,
}
string ,
source:
{
Description: The source of the input. ,
Required: False ,
}
string ,
sourceContext:
{
Description: The source context used for selecting recursive inputs. ,
Required: False ,
}
string ,
inputs:
{
Description: The recursive inputs used when creating a complex type. ,
Required: False ,
}
[
string ,
]
,
}
,
]
,
}
,
]
,
parameters:
{
Description: A dictionary of index projection-specific configuration properties. Each name is the name of a specific property. Each value must be of a primitive type. ,
Required: False ,
}
{
projectionMode:
{
Description: Defines behavior of the index projections in relation to the rest of the indexer. ,
Enum:
{
skipIndexingParentDocuments: The source document will be skipped from writing into the indexer's target index. ,
includeIndexingParentDocuments: The source document will be written into the indexer's target index. This is the default pattern. ,
}
,
Required: False ,
}
enum ,
}
,
}
,
@odata.etag:
{
Description: The ETag of the skillset. ,
Required: False ,
}
string ,
encryptionKey:
{
Description: A description of an encryption key that you create in Azure Key Vault. This key is used to provide an additional level of encryption-at-rest for your skillset definition when you want full assurance that no one, not even Microsoft, can decrypt your skillset definition. Once you have encrypted your skillset definition, it will always remain encrypted. The search service will ignore attempts to set this property to null. You can change this property as needed if you want to rotate your encryption key; Your skillset definition will be unaffected. Encryption with customer-managed keys is not available for free search services, and is only available for paid services created on or after January 1, 2019. ,
Required: False ,
}
{
keyVaultKeyName:
{
Description: The name of your Azure Key Vault key to be used to encrypt your data at rest. ,
Required: True ,
}
string ,
keyVaultKeyVersion:
{
Description: The version of your Azure Key Vault key to be used to encrypt your data at rest. ,
Required: True ,
}
string ,
keyVaultUri:
{
Description: The URI of your Azure Key Vault, also referred to as DNS name, that contains the key to be used to encrypt your data at rest. An example URI might be `https://my-keyvault-name.vault.azure.net`. ,
Required: True ,
}
string ,
accessCredentials:
{
Description: Optional Azure Active Directory credentials used for accessing your Azure Key Vault. Not required if using managed identity instead. ,
Required: False ,
}
{
applicationId:
{
Description: An AAD Application ID that was granted the required access permissions to the Azure Key Vault that is to be used when encrypting your data at rest. The Application ID should not be confused with the Object ID for your AAD Application. ,
Required: True ,
}
string ,
applicationSecret:
{
Description: The authentication key of the specified AAD application. ,
Required: False ,
}
string ,
}
,
}
,
}

⚐ Response (default)

{
error:
{
Description: The error object. ,
Required: False ,
}
{
code:
{
Description: The error code. ,
Required: False ,
}
string ,
message:
{
Description: The error message. ,
Required: False ,
}
string ,
target:
{
Description: The error target. ,
Required: False ,
}
string ,
details:
{
Description: The error details. ,
Required: False ,
}
[
string ,
]
,
additionalInfo:
{
Description: The error additional info. ,
Required: False ,
}
[
{
type:
{
Description: The additional info type. ,
Required: False ,
}
string ,
info:
{
Description: The additional info. ,
Required: False ,
}
object ,
}
,
]
,
}
,
}
Skillsets_Delete (new)
Description :  Deletes a skillset in a search service.
Reference :  Link ¶

⚼ Request

DELETE:  /skillsets('{skillsetName}')
{
skillsetName:
{
Description: The name of the skillset to delete. ,
Required: True ,
}
string ,
x-ms-client-request-id:
{
Description: The tracking ID sent with the request to help with debugging. ,
Format: uuid ,
Required: False ,
}
string ,
If-Match:
{
Description: Defines the If-Match condition. The operation will be performed only if the ETag on the server matches this value. ,
Required: False ,
}
string ,
If-None-Match:
{
Description: Defines the If-None-Match condition. The operation will be performed only if the ETag on the server does not match this value. ,
Required: False ,
}
string ,
api-version:
{
Description: Client Api Version. ,
Required: True ,
}
string ,
}

⚐ Response (204)

{}

⚐ Response (404)

{}

⚐ Response (default)

{
error:
{
Description: The error object. ,
Required: False ,
}
{
code:
{
Description: The error code. ,
Required: False ,
}
string ,
message:
{
Description: The error message. ,
Required: False ,
}
string ,
target:
{
Description: The error target. ,
Required: False ,
}
string ,
details:
{
Description: The error details. ,
Required: False ,
}
[
string ,
]
,
additionalInfo:
{
Description: The error additional info. ,
Required: False ,
}
[
{
type:
{
Description: The additional info type. ,
Required: False ,
}
string ,
info:
{
Description: The additional info. ,
Required: False ,
}
object ,
}
,
]
,
}
,
}
Skillsets_Get (new)
Description :  Retrieves a skillset in a search service.
Reference :  Link ¶

⚼ Request

GET:  /skillsets('{skillsetName}')
{
skillsetName:
{
Description: The name of the skillset to retrieve. ,
Required: True ,
}
string ,
x-ms-client-request-id:
{
Description: The tracking ID sent with the request to help with debugging. ,
Format: uuid ,
Required: False ,
}
string ,
api-version:
{
Description: Client Api Version. ,
Required: True ,
}
string ,
}

⚐ Response (200)

{
name:
{
Description: The name of the skillset. ,
Required: True ,
}
string ,
description:
{
Description: The description of the skillset. ,
Required: False ,
}
string ,
skills:
{
Description: A list of skills in the skillset. ,
Required: True ,
}
[
{
@odata.type:
{
Description: A URI fragment specifying the type of skill. ,
Required: True ,
}
string ,
name:
{
Description: The name of the skill which uniquely identifies it within the skillset. A skill with no name defined will be given a default name of its 1-based index in the skills array, prefixed with the character '#'. ,
Required: False ,
}
string ,
description:
{
Description: The description of the skill which describes the inputs, outputs, and usage of the skill. ,
Required: False ,
}
string ,
context:
{
Description: Represents the level at which operations take place, such as the document root or document content (for example, /document or /document/content). The default is /document. ,
Required: False ,
}
string ,
inputs:
{
Description: Inputs of the skills could be a column in the source data set, or the output of an upstream skill. ,
Required: True ,
}
[
{
name:
{
Description: The name of the input. ,
Required: True ,
}
string ,
source:
{
Description: The source of the input. ,
Required: False ,
}
string ,
sourceContext:
{
Description: The source context used for selecting recursive inputs. ,
Required: False ,
}
string ,
inputs:
{
Description: The recursive inputs used when creating a complex type. ,
Required: False ,
}
[
string ,
]
,
}
,
]
,
outputs:
{
Description: The output of a skill is either a field in a search index, or a value that can be consumed as an input by another skill. ,
Required: True ,
}
[
{
name:
{
Description: The name of the output defined by the skill. ,
Required: True ,
}
string ,
targetName:
{
Description: The target name of the output. It is optional and default to name. ,
Required: False ,
}
string ,
}
,
]
,
}
,
]
,
cognitiveServices:
{
Description: Details about the Azure AI service to be used when running skills. ,
Required: False ,
}
{
@odata.type:
{
Description: A URI fragment specifying the type of Azure AI service resource attached to a skillset. ,
Required: True ,
}
string ,
description:
{
Description: Description of the Azure AI service resource attached to a skillset. ,
Required: False ,
}
string ,
}
,
knowledgeStore:
{
Description: Definition of additional projections to Azure blob, table, or files, of enriched data. ,
Required: False ,
}
{
storageConnectionString:
{
Description: The connection string to the storage account projections will be stored in. ,
Required: True ,
}
string ,
projections:
{
Description: A list of additional projections to perform during indexing. ,
Required: True ,
}
[
{
tables:
{
Description: Projections to Azure Table storage. ,
Required: False ,
}
[
{
tableName:
{
Description: Name of the Azure table to store projected data in. ,
Required: True ,
}
string ,
}
,
]
,
objects:
{
Description: Projections to Azure Blob storage. ,
Required: False ,
}
[
object ,
]
,
files:
{
Description: Projections to Azure File storage. ,
Required: False ,
}
[
object ,
]
,
}
,
]
,
}
,
indexProjections:
{
Description: Definition of additional projections to secondary search index(es). ,
Required: False ,
}
{
selectors:
{
Description: A list of projections to be performed to secondary search indexes. ,
Required: True ,
}
[
{
targetIndexName:
{
Description: Name of the search index to project to. Must have a key field with the 'keyword' analyzer set. ,
Required: True ,
}
string ,
parentKeyFieldName:
{
Description: Name of the field in the search index to map the parent document's key value to. Must be a string field that is filterable and not the key field. ,
Required: True ,
}
string ,
sourceContext:
{
Description: Source context for the projections. Represents the cardinality at which the document will be split into multiple sub documents. ,
Required: True ,
}
string ,
mappings:
{
Description: Mappings for the projection, or which source should be mapped to which field in the target index. ,
Required: True ,
}
[
{
name:
{
Description: The name of the input. ,
Required: True ,
}
string ,
source:
{
Description: The source of the input. ,
Required: False ,
}
string ,
sourceContext:
{
Description: The source context used for selecting recursive inputs. ,
Required: False ,
}
string ,
inputs:
{
Description: The recursive inputs used when creating a complex type. ,
Required: False ,
}
[
string ,
]
,
}
,
]
,
}
,
]
,
parameters:
{
Description: A dictionary of index projection-specific configuration properties. Each name is the name of a specific property. Each value must be of a primitive type. ,
Required: False ,
}
{
projectionMode:
{
Description: Defines behavior of the index projections in relation to the rest of the indexer. ,
Enum:
{
skipIndexingParentDocuments: The source document will be skipped from writing into the indexer's target index. ,
includeIndexingParentDocuments: The source document will be written into the indexer's target index. This is the default pattern. ,
}
,
Required: False ,
}
enum ,
}
,
}
,
@odata.etag:
{
Description: The ETag of the skillset. ,
Required: False ,
}
string ,
encryptionKey:
{
Description: A description of an encryption key that you create in Azure Key Vault. This key is used to provide an additional level of encryption-at-rest for your skillset definition when you want full assurance that no one, not even Microsoft, can decrypt your skillset definition. Once you have encrypted your skillset definition, it will always remain encrypted. The search service will ignore attempts to set this property to null. You can change this property as needed if you want to rotate your encryption key; Your skillset definition will be unaffected. Encryption with customer-managed keys is not available for free search services, and is only available for paid services created on or after January 1, 2019. ,
Required: False ,
}
{
keyVaultKeyName:
{
Description: The name of your Azure Key Vault key to be used to encrypt your data at rest. ,
Required: True ,
}
string ,
keyVaultKeyVersion:
{
Description: The version of your Azure Key Vault key to be used to encrypt your data at rest. ,
Required: True ,
}
string ,
keyVaultUri:
{
Description: The URI of your Azure Key Vault, also referred to as DNS name, that contains the key to be used to encrypt your data at rest. An example URI might be `https://my-keyvault-name.vault.azure.net`. ,
Required: True ,
}
string ,
accessCredentials:
{
Description: Optional Azure Active Directory credentials used for accessing your Azure Key Vault. Not required if using managed identity instead. ,
Required: False ,
}
{
applicationId:
{
Description: An AAD Application ID that was granted the required access permissions to the Azure Key Vault that is to be used when encrypting your data at rest. The Application ID should not be confused with the Object ID for your AAD Application. ,
Required: True ,
}
string ,
applicationSecret:
{
Description: The authentication key of the specified AAD application. ,
Required: False ,
}
string ,
}
,
}
,
}

⚐ Response (default)

{
error:
{
Description: The error object. ,
Required: False ,
}
{
code:
{
Description: The error code. ,
Required: False ,
}
string ,
message:
{
Description: The error message. ,
Required: False ,
}
string ,
target:
{
Description: The error target. ,
Required: False ,
}
string ,
details:
{
Description: The error details. ,
Required: False ,
}
[
string ,
]
,
additionalInfo:
{
Description: The error additional info. ,
Required: False ,
}
[
{
type:
{
Description: The additional info type. ,
Required: False ,
}
string ,
info:
{
Description: The additional info. ,
Required: False ,
}
object ,
}
,
]
,
}
,
}
Skillsets_List (new)
Description :  List all skillsets in a search service.
Reference :  Link ¶

⚼ Request

GET:  /skillsets
{
$select:
{
Description: Selects which top-level properties of the skillsets to retrieve. Specified as a comma-separated list of JSON property names, or '*' for all properties. The default is all properties. ,
Required: False ,
}
string ,
x-ms-client-request-id:
{
Description: The tracking ID sent with the request to help with debugging. ,
Format: uuid ,
Required: False ,
}
string ,
api-version:
{
Description: Client Api Version. ,
Required: True ,
}
string ,
}

⚐ Response (200)

{
value:
{
Description: The skillsets defined in the Search service. ,
Required: True ,
}
[
{
name:
{
Description: The name of the skillset. ,
Required: True ,
}
string ,
description:
{
Description: The description of the skillset. ,
Required: False ,
}
string ,
skills:
{
Description: A list of skills in the skillset. ,
Required: True ,
}
[
{
@odata.type:
{
Description: A URI fragment specifying the type of skill. ,
Required: True ,
}
string ,
name:
{
Description: The name of the skill which uniquely identifies it within the skillset. A skill with no name defined will be given a default name of its 1-based index in the skills array, prefixed with the character '#'. ,
Required: False ,
}
string ,
description:
{
Description: The description of the skill which describes the inputs, outputs, and usage of the skill. ,
Required: False ,
}
string ,
context:
{
Description: Represents the level at which operations take place, such as the document root or document content (for example, /document or /document/content). The default is /document. ,
Required: False ,
}
string ,
inputs:
{
Description: Inputs of the skills could be a column in the source data set, or the output of an upstream skill. ,
Required: True ,
}
[
{
name:
{
Description: The name of the input. ,
Required: True ,
}
string ,
source:
{
Description: The source of the input. ,
Required: False ,
}
string ,
sourceContext:
{
Description: The source context used for selecting recursive inputs. ,
Required: False ,
}
string ,
inputs:
{
Description: The recursive inputs used when creating a complex type. ,
Required: False ,
}
[
string ,
]
,
}
,
]
,
outputs:
{
Description: The output of a skill is either a field in a search index, or a value that can be consumed as an input by another skill. ,
Required: True ,
}
[
{
name:
{
Description: The name of the output defined by the skill. ,
Required: True ,
}
string ,
targetName:
{
Description: The target name of the output. It is optional and default to name. ,
Required: False ,
}
string ,
}
,
]
,
}
,
]
,
cognitiveServices:
{
Description: Details about the Azure AI service to be used when running skills. ,
Required: False ,
}
{
@odata.type:
{
Description: A URI fragment specifying the type of Azure AI service resource attached to a skillset. ,
Required: True ,
}
string ,
description:
{
Description: Description of the Azure AI service resource attached to a skillset. ,
Required: False ,
}
string ,
}
,
knowledgeStore:
{
Description: Definition of additional projections to Azure blob, table, or files, of enriched data. ,
Required: False ,
}
{
storageConnectionString:
{
Description: The connection string to the storage account projections will be stored in. ,
Required: True ,
}
string ,
projections:
{
Description: A list of additional projections to perform during indexing. ,
Required: True ,
}
[
{
tables:
{
Description: Projections to Azure Table storage. ,
Required: False ,
}
[
{
tableName:
{
Description: Name of the Azure table to store projected data in. ,
Required: True ,
}
string ,
}
,
]
,
objects:
{
Description: Projections to Azure Blob storage. ,
Required: False ,
}
[
object ,
]
,
files:
{
Description: Projections to Azure File storage. ,
Required: False ,
}
[
object ,
]
,
}
,
]
,
}
,
indexProjections:
{
Description: Definition of additional projections to secondary search index(es). ,
Required: False ,
}
{
selectors:
{
Description: A list of projections to be performed to secondary search indexes. ,
Required: True ,
}
[
{
targetIndexName:
{
Description: Name of the search index to project to. Must have a key field with the 'keyword' analyzer set. ,
Required: True ,
}
string ,
parentKeyFieldName:
{
Description: Name of the field in the search index to map the parent document's key value to. Must be a string field that is filterable and not the key field. ,
Required: True ,
}
string ,
sourceContext:
{
Description: Source context for the projections. Represents the cardinality at which the document will be split into multiple sub documents. ,
Required: True ,
}
string ,
mappings:
{
Description: Mappings for the projection, or which source should be mapped to which field in the target index. ,
Required: True ,
}
[
{
name:
{
Description: The name of the input. ,
Required: True ,
}
string ,
source:
{
Description: The source of the input. ,
Required: False ,
}
string ,
sourceContext:
{
Description: The source context used for selecting recursive inputs. ,
Required: False ,
}
string ,
inputs:
{
Description: The recursive inputs used when creating a complex type. ,
Required: False ,
}
[
string ,
]
,
}
,
]
,
}
,
]
,
parameters:
{
Description: A dictionary of index projection-specific configuration properties. Each name is the name of a specific property. Each value must be of a primitive type. ,
Required: False ,
}
{
projectionMode:
{
Description: Defines behavior of the index projections in relation to the rest of the indexer. ,
Enum:
{
skipIndexingParentDocuments: The source document will be skipped from writing into the indexer's target index. ,
includeIndexingParentDocuments: The source document will be written into the indexer's target index. This is the default pattern. ,
}
,
Required: False ,
}
enum ,
}
,
}
,
@odata.etag:
{
Description: The ETag of the skillset. ,
Required: False ,
}
string ,
encryptionKey:
{
Description: A description of an encryption key that you create in Azure Key Vault. This key is used to provide an additional level of encryption-at-rest for your skillset definition when you want full assurance that no one, not even Microsoft, can decrypt your skillset definition. Once you have encrypted your skillset definition, it will always remain encrypted. The search service will ignore attempts to set this property to null. You can change this property as needed if you want to rotate your encryption key; Your skillset definition will be unaffected. Encryption with customer-managed keys is not available for free search services, and is only available for paid services created on or after January 1, 2019. ,
Required: False ,
}
{
keyVaultKeyName:
{
Description: The name of your Azure Key Vault key to be used to encrypt your data at rest. ,
Required: True ,
}
string ,
keyVaultKeyVersion:
{
Description: The version of your Azure Key Vault key to be used to encrypt your data at rest. ,
Required: True ,
}
string ,
keyVaultUri:
{
Description: The URI of your Azure Key Vault, also referred to as DNS name, that contains the key to be used to encrypt your data at rest. An example URI might be `https://my-keyvault-name.vault.azure.net`. ,
Required: True ,
}
string ,
accessCredentials:
{
Description: Optional Azure Active Directory credentials used for accessing your Azure Key Vault. Not required if using managed identity instead. ,
Required: False ,
}
{
applicationId:
{
Description: An AAD Application ID that was granted the required access permissions to the Azure Key Vault that is to be used when encrypting your data at rest. The Application ID should not be confused with the Object ID for your AAD Application. ,
Required: True ,
}
string ,
applicationSecret:
{
Description: The authentication key of the specified AAD application. ,
Required: False ,
}
string ,
}
,
}
,
}
,
]
,
}

⚐ Response (default)

{
error:
{
Description: The error object. ,
Required: False ,
}
{
code:
{
Description: The error code. ,
Required: False ,
}
string ,
message:
{
Description: The error message. ,
Required: False ,
}
string ,
target:
{
Description: The error target. ,
Required: False ,
}
string ,
details:
{
Description: The error details. ,
Required: False ,
}
[
string ,
]
,
additionalInfo:
{
Description: The error additional info. ,
Required: False ,
}
[
{
type:
{
Description: The additional info type. ,
Required: False ,
}
string ,
info:
{
Description: The additional info. ,
Required: False ,
}
object ,
}
,
]
,
}
,
}
Skillsets_Create (new)
Description :  Creates a new skillset in a search service.
Reference :  Link ¶

⚼ Request

POST:  /skillsets
{
skillset:
{
Description: The skillset containing one or more skills to create in a search service. ,
Required: True ,
}
{
name:
{
Description: The name of the skillset. ,
Required: True ,
}
string ,
description:
{
Description: The description of the skillset. ,
Required: False ,
}
string ,
skills:
{
Description: A list of skills in the skillset. ,
Required: True ,
}
[
{
@odata.type:
{
Description: A URI fragment specifying the type of skill. ,
Required: True ,
}
string ,
name:
{
Description: The name of the skill which uniquely identifies it within the skillset. A skill with no name defined will be given a default name of its 1-based index in the skills array, prefixed with the character '#'. ,
Required: False ,
}
string ,
description:
{
Description: The description of the skill which describes the inputs, outputs, and usage of the skill. ,
Required: False ,
}
string ,
context:
{
Description: Represents the level at which operations take place, such as the document root or document content (for example, /document or /document/content). The default is /document. ,
Required: False ,
}
string ,
inputs:
{
Description: Inputs of the skills could be a column in the source data set, or the output of an upstream skill. ,
Required: True ,
}
[
{
name:
{
Description: The name of the input. ,
Required: True ,
}
string ,
source:
{
Description: The source of the input. ,
Required: False ,
}
string ,
sourceContext:
{
Description: The source context used for selecting recursive inputs. ,
Required: False ,
}
string ,
inputs:
{
Description: The recursive inputs used when creating a complex type. ,
Required: False ,
}
[
string ,
]
,
}
,
]
,
outputs:
{
Description: The output of a skill is either a field in a search index, or a value that can be consumed as an input by another skill. ,
Required: True ,
}
[
{
name:
{
Description: The name of the output defined by the skill. ,
Required: True ,
}
string ,
targetName:
{
Description: The target name of the output. It is optional and default to name. ,
Required: False ,
}
string ,
}
,
]
,
}
,
]
,
cognitiveServices:
{
Description: Details about the Azure AI service to be used when running skills. ,
Required: False ,
}
{
@odata.type:
{
Description: A URI fragment specifying the type of Azure AI service resource attached to a skillset. ,
Required: True ,
}
string ,
description:
{
Description: Description of the Azure AI service resource attached to a skillset. ,
Required: False ,
}
string ,
}
,
knowledgeStore:
{
Description: Definition of additional projections to Azure blob, table, or files, of enriched data. ,
Required: False ,
}
{
storageConnectionString:
{
Description: The connection string to the storage account projections will be stored in. ,
Required: True ,
}
string ,
projections:
{
Description: A list of additional projections to perform during indexing. ,
Required: True ,
}
[
{
tables:
{
Description: Projections to Azure Table storage. ,
Required: False ,
}
[
{
tableName:
{
Description: Name of the Azure table to store projected data in. ,
Required: True ,
}
string ,
}
,
]
,
objects:
{
Description: Projections to Azure Blob storage. ,
Required: False ,
}
[
object ,
]
,
files:
{
Description: Projections to Azure File storage. ,
Required: False ,
}
[
object ,
]
,
}
,
]
,
}
,
indexProjections:
{
Description: Definition of additional projections to secondary search index(es). ,
Required: False ,
}
{
selectors:
{
Description: A list of projections to be performed to secondary search indexes. ,
Required: True ,
}
[
{
targetIndexName:
{
Description: Name of the search index to project to. Must have a key field with the 'keyword' analyzer set. ,
Required: True ,
}
string ,
parentKeyFieldName:
{
Description: Name of the field in the search index to map the parent document's key value to. Must be a string field that is filterable and not the key field. ,
Required: True ,
}
string ,
sourceContext:
{
Description: Source context for the projections. Represents the cardinality at which the document will be split into multiple sub documents. ,
Required: True ,
}
string ,
mappings:
{
Description: Mappings for the projection, or which source should be mapped to which field in the target index. ,
Required: True ,
}
[
{
name:
{
Description: The name of the input. ,
Required: True ,
}
string ,
source:
{
Description: The source of the input. ,
Required: False ,
}
string ,
sourceContext:
{
Description: The source context used for selecting recursive inputs. ,
Required: False ,
}
string ,
inputs:
{
Description: The recursive inputs used when creating a complex type. ,
Required: False ,
}
[
string ,
]
,
}
,
]
,
}
,
]
,
parameters:
{
Description: A dictionary of index projection-specific configuration properties. Each name is the name of a specific property. Each value must be of a primitive type. ,
Required: False ,
}
{
projectionMode:
{
Description: Defines behavior of the index projections in relation to the rest of the indexer. ,
Enum:
{
skipIndexingParentDocuments: The source document will be skipped from writing into the indexer's target index. ,
includeIndexingParentDocuments: The source document will be written into the indexer's target index. This is the default pattern. ,
}
,
Required: False ,
}
enum ,
}
,
}
,
@odata.etag:
{
Description: The ETag of the skillset. ,
Required: False ,
}
string ,
encryptionKey:
{
Description: A description of an encryption key that you create in Azure Key Vault. This key is used to provide an additional level of encryption-at-rest for your skillset definition when you want full assurance that no one, not even Microsoft, can decrypt your skillset definition. Once you have encrypted your skillset definition, it will always remain encrypted. The search service will ignore attempts to set this property to null. You can change this property as needed if you want to rotate your encryption key; Your skillset definition will be unaffected. Encryption with customer-managed keys is not available for free search services, and is only available for paid services created on or after January 1, 2019. ,
Required: False ,
}
{
keyVaultKeyName:
{
Description: The name of your Azure Key Vault key to be used to encrypt your data at rest. ,
Required: True ,
}
string ,
keyVaultKeyVersion:
{
Description: The version of your Azure Key Vault key to be used to encrypt your data at rest. ,
Required: True ,
}
string ,
keyVaultUri:
{
Description: The URI of your Azure Key Vault, also referred to as DNS name, that contains the key to be used to encrypt your data at rest. An example URI might be `https://my-keyvault-name.vault.azure.net`. ,
Required: True ,
}
string ,
accessCredentials:
{
Description: Optional Azure Active Directory credentials used for accessing your Azure Key Vault. Not required if using managed identity instead. ,
Required: False ,
}
{
applicationId:
{
Description: An AAD Application ID that was granted the required access permissions to the Azure Key Vault that is to be used when encrypting your data at rest. The Application ID should not be confused with the Object ID for your AAD Application. ,
Required: True ,
}
string ,
applicationSecret:
{
Description: The authentication key of the specified AAD application. ,
Required: False ,
}
string ,
}
,
}
,
}
,
x-ms-client-request-id:
{
Description: The tracking ID sent with the request to help with debugging. ,
Format: uuid ,
Required: False ,
}
string ,
api-version:
{
Description: Client Api Version. ,
Required: True ,
}
string ,
}

⚐ Response (201)

{
name:
{
Description: The name of the skillset. ,
Required: True ,
}
string ,
description:
{
Description: The description of the skillset. ,
Required: False ,
}
string ,
skills:
{
Description: A list of skills in the skillset. ,
Required: True ,
}
[
{
@odata.type:
{
Description: A URI fragment specifying the type of skill. ,
Required: True ,
}
string ,
name:
{
Description: The name of the skill which uniquely identifies it within the skillset. A skill with no name defined will be given a default name of its 1-based index in the skills array, prefixed with the character '#'. ,
Required: False ,
}
string ,
description:
{
Description: The description of the skill which describes the inputs, outputs, and usage of the skill. ,
Required: False ,
}
string ,
context:
{
Description: Represents the level at which operations take place, such as the document root or document content (for example, /document or /document/content). The default is /document. ,
Required: False ,
}
string ,
inputs:
{
Description: Inputs of the skills could be a column in the source data set, or the output of an upstream skill. ,
Required: True ,
}
[
{
name:
{
Description: The name of the input. ,
Required: True ,
}
string ,
source:
{
Description: The source of the input. ,
Required: False ,
}
string ,
sourceContext:
{
Description: The source context used for selecting recursive inputs. ,
Required: False ,
}
string ,
inputs:
{
Description: The recursive inputs used when creating a complex type. ,
Required: False ,
}
[
string ,
]
,
}
,
]
,
outputs:
{
Description: The output of a skill is either a field in a search index, or a value that can be consumed as an input by another skill. ,
Required: True ,
}
[
{
name:
{
Description: The name of the output defined by the skill. ,
Required: True ,
}
string ,
targetName:
{
Description: The target name of the output. It is optional and default to name. ,
Required: False ,
}
string ,
}
,
]
,
}
,
]
,
cognitiveServices:
{
Description: Details about the Azure AI service to be used when running skills. ,
Required: False ,
}
{
@odata.type:
{
Description: A URI fragment specifying the type of Azure AI service resource attached to a skillset. ,
Required: True ,
}
string ,
description:
{
Description: Description of the Azure AI service resource attached to a skillset. ,
Required: False ,
}
string ,
}
,
knowledgeStore:
{
Description: Definition of additional projections to Azure blob, table, or files, of enriched data. ,
Required: False ,
}
{
storageConnectionString:
{
Description: The connection string to the storage account projections will be stored in. ,
Required: True ,
}
string ,
projections:
{
Description: A list of additional projections to perform during indexing. ,
Required: True ,
}
[
{
tables:
{
Description: Projections to Azure Table storage. ,
Required: False ,
}
[
{
tableName:
{
Description: Name of the Azure table to store projected data in. ,
Required: True ,
}
string ,
}
,
]
,
objects:
{
Description: Projections to Azure Blob storage. ,
Required: False ,
}
[
object ,
]
,
files:
{
Description: Projections to Azure File storage. ,
Required: False ,
}
[
object ,
]
,
}
,
]
,
}
,
indexProjections:
{
Description: Definition of additional projections to secondary search index(es). ,
Required: False ,
}
{
selectors:
{
Description: A list of projections to be performed to secondary search indexes. ,
Required: True ,
}
[
{
targetIndexName:
{
Description: Name of the search index to project to. Must have a key field with the 'keyword' analyzer set. ,
Required: True ,
}
string ,
parentKeyFieldName:
{
Description: Name of the field in the search index to map the parent document's key value to. Must be a string field that is filterable and not the key field. ,
Required: True ,
}
string ,
sourceContext:
{
Description: Source context for the projections. Represents the cardinality at which the document will be split into multiple sub documents. ,
Required: True ,
}
string ,
mappings:
{
Description: Mappings for the projection, or which source should be mapped to which field in the target index. ,
Required: True ,
}
[
{
name:
{
Description: The name of the input. ,
Required: True ,
}
string ,
source:
{
Description: The source of the input. ,
Required: False ,
}
string ,
sourceContext:
{
Description: The source context used for selecting recursive inputs. ,
Required: False ,
}
string ,
inputs:
{
Description: The recursive inputs used when creating a complex type. ,
Required: False ,
}
[
string ,
]
,
}
,
]
,
}
,
]
,
parameters:
{
Description: A dictionary of index projection-specific configuration properties. Each name is the name of a specific property. Each value must be of a primitive type. ,
Required: False ,
}
{
projectionMode:
{
Description: Defines behavior of the index projections in relation to the rest of the indexer. ,
Enum:
{
skipIndexingParentDocuments: The source document will be skipped from writing into the indexer's target index. ,
includeIndexingParentDocuments: The source document will be written into the indexer's target index. This is the default pattern. ,
}
,
Required: False ,
}
enum ,
}
,
}
,
@odata.etag:
{
Description: The ETag of the skillset. ,
Required: False ,
}
string ,
encryptionKey:
{
Description: A description of an encryption key that you create in Azure Key Vault. This key is used to provide an additional level of encryption-at-rest for your skillset definition when you want full assurance that no one, not even Microsoft, can decrypt your skillset definition. Once you have encrypted your skillset definition, it will always remain encrypted. The search service will ignore attempts to set this property to null. You can change this property as needed if you want to rotate your encryption key; Your skillset definition will be unaffected. Encryption with customer-managed keys is not available for free search services, and is only available for paid services created on or after January 1, 2019. ,
Required: False ,
}
{
keyVaultKeyName:
{
Description: The name of your Azure Key Vault key to be used to encrypt your data at rest. ,
Required: True ,
}
string ,
keyVaultKeyVersion:
{
Description: The version of your Azure Key Vault key to be used to encrypt your data at rest. ,
Required: True ,
}
string ,
keyVaultUri:
{
Description: The URI of your Azure Key Vault, also referred to as DNS name, that contains the key to be used to encrypt your data at rest. An example URI might be `https://my-keyvault-name.vault.azure.net`. ,
Required: True ,
}
string ,
accessCredentials:
{
Description: Optional Azure Active Directory credentials used for accessing your Azure Key Vault. Not required if using managed identity instead. ,
Required: False ,
}
{
applicationId:
{
Description: An AAD Application ID that was granted the required access permissions to the Azure Key Vault that is to be used when encrypting your data at rest. The Application ID should not be confused with the Object ID for your AAD Application. ,
Required: True ,
}
string ,
applicationSecret:
{
Description: The authentication key of the specified AAD application. ,
Required: False ,
}
string ,
}
,
}
,
}

⚐ Response (default)

{
error:
{
Description: The error object. ,
Required: False ,
}
{
code:
{
Description: The error code. ,
Required: False ,
}
string ,
message:
{
Description: The error message. ,
Required: False ,
}
string ,
target:
{
Description: The error target. ,
Required: False ,
}
string ,
details:
{
Description: The error details. ,
Required: False ,
}
[
string ,
]
,
additionalInfo:
{
Description: The error additional info. ,
Required: False ,
}
[
{
type:
{
Description: The additional info type. ,
Required: False ,
}
string ,
info:
{
Description: The additional info. ,
Required: False ,
}
object ,
}
,
]
,
}
,
}
SynonymMaps_CreateOrUpdate (new)
Description :  Creates a new synonym map or updates a synonym map if it already exists.
Reference :  Link ¶

⚼ Request

PUT:  /synonymmaps('{synonymMapName}')
{
synonymMapName:
{
Description: The name of the synonym map to create or update. ,
Required: True ,
}
string ,
synonymMap:
{
Description: The definition of the synonym map to create or update. ,
Required: True ,
}
{
name:
{
Description: The name of the synonym map. ,
Required: True ,
}
string ,
format:
{
Description: The format of the synonym map. Only the 'solr' format is currently supported. ,
Enum:
{
solr: Selects the SOLR format for synonym maps. ,
}
,
Required: True ,
}
enum ,
synonyms:
{
Description: A series of synonym rules in the specified synonym map format. The rules must be separated by newlines. ,
Required: True ,
}
string ,
encryptionKey:
{
Description: A description of an encryption key that you create in Azure Key Vault. This key is used to provide an additional level of encryption-at-rest for your data when you want full assurance that no one, not even Microsoft, can decrypt your data. Once you have encrypted your data, it will always remain encrypted. The search service will ignore attempts to set this property to null. You can change this property as needed if you want to rotate your encryption key; Your data will be unaffected. Encryption with customer-managed keys is not available for free search services, and is only available for paid services created on or after January 1, 2019. ,
Required: False ,
}
{
keyVaultKeyName:
{
Description: The name of your Azure Key Vault key to be used to encrypt your data at rest. ,
Required: True ,
}
string ,
keyVaultKeyVersion:
{
Description: The version of your Azure Key Vault key to be used to encrypt your data at rest. ,
Required: True ,
}
string ,
keyVaultUri:
{
Description: The URI of your Azure Key Vault, also referred to as DNS name, that contains the key to be used to encrypt your data at rest. An example URI might be `https://my-keyvault-name.vault.azure.net`. ,
Required: True ,
}
string ,
accessCredentials:
{
Description: Optional Azure Active Directory credentials used for accessing your Azure Key Vault. Not required if using managed identity instead. ,
Required: False ,
}
{
applicationId:
{
Description: An AAD Application ID that was granted the required access permissions to the Azure Key Vault that is to be used when encrypting your data at rest. The Application ID should not be confused with the Object ID for your AAD Application. ,
Required: True ,
}
string ,
applicationSecret:
{
Description: The authentication key of the specified AAD application. ,
Required: False ,
}
string ,
}
,
}
,
@odata.etag:
{
Description: The ETag of the synonym map. ,
Required: False ,
}
string ,
}
,
x-ms-client-request-id:
{
Description: The tracking ID sent with the request to help with debugging. ,
Format: uuid ,
Required: False ,
}
string ,
If-Match:
{
Description: Defines the If-Match condition. The operation will be performed only if the ETag on the server matches this value. ,
Required: False ,
}
string ,
If-None-Match:
{
Description: Defines the If-None-Match condition. The operation will be performed only if the ETag on the server does not match this value. ,
Required: False ,
}
string ,
Prefer:
{
Description: For HTTP PUT requests, instructs the service to return the created/updated resource on success. ,
Required: True ,
}
string ,
api-version:
{
Description: Client Api Version. ,
Required: True ,
}
string ,
}

⚐ Response (200)

{
name:
{
Description: The name of the synonym map. ,
Required: True ,
}
string ,
format:
{
Description: The format of the synonym map. Only the 'solr' format is currently supported. ,
Enum:
{
solr: Selects the SOLR format for synonym maps. ,
}
,
Required: True ,
}
enum ,
synonyms:
{
Description: A series of synonym rules in the specified synonym map format. The rules must be separated by newlines. ,
Required: True ,
}
string ,
encryptionKey:
{
Description: A description of an encryption key that you create in Azure Key Vault. This key is used to provide an additional level of encryption-at-rest for your data when you want full assurance that no one, not even Microsoft, can decrypt your data. Once you have encrypted your data, it will always remain encrypted. The search service will ignore attempts to set this property to null. You can change this property as needed if you want to rotate your encryption key; Your data will be unaffected. Encryption with customer-managed keys is not available for free search services, and is only available for paid services created on or after January 1, 2019. ,
Required: False ,
}
{
keyVaultKeyName:
{
Description: The name of your Azure Key Vault key to be used to encrypt your data at rest. ,
Required: True ,
}
string ,
keyVaultKeyVersion:
{
Description: The version of your Azure Key Vault key to be used to encrypt your data at rest. ,
Required: True ,
}
string ,
keyVaultUri:
{
Description: The URI of your Azure Key Vault, also referred to as DNS name, that contains the key to be used to encrypt your data at rest. An example URI might be `https://my-keyvault-name.vault.azure.net`. ,
Required: True ,
}
string ,
accessCredentials:
{
Description: Optional Azure Active Directory credentials used for accessing your Azure Key Vault. Not required if using managed identity instead. ,
Required: False ,
}
{
applicationId:
{
Description: An AAD Application ID that was granted the required access permissions to the Azure Key Vault that is to be used when encrypting your data at rest. The Application ID should not be confused with the Object ID for your AAD Application. ,
Required: True ,
}
string ,
applicationSecret:
{
Description: The authentication key of the specified AAD application. ,
Required: False ,
}
string ,
}
,
}
,
@odata.etag:
{
Description: The ETag of the synonym map. ,
Required: False ,
}
string ,
}

⚐ Response (201)

{
name:
{
Description: The name of the synonym map. ,
Required: True ,
}
string ,
format:
{
Description: The format of the synonym map. Only the 'solr' format is currently supported. ,
Enum:
{
solr: Selects the SOLR format for synonym maps. ,
}
,
Required: True ,
}
enum ,
synonyms:
{
Description: A series of synonym rules in the specified synonym map format. The rules must be separated by newlines. ,
Required: True ,
}
string ,
encryptionKey:
{
Description: A description of an encryption key that you create in Azure Key Vault. This key is used to provide an additional level of encryption-at-rest for your data when you want full assurance that no one, not even Microsoft, can decrypt your data. Once you have encrypted your data, it will always remain encrypted. The search service will ignore attempts to set this property to null. You can change this property as needed if you want to rotate your encryption key; Your data will be unaffected. Encryption with customer-managed keys is not available for free search services, and is only available for paid services created on or after January 1, 2019. ,
Required: False ,
}
{
keyVaultKeyName:
{
Description: The name of your Azure Key Vault key to be used to encrypt your data at rest. ,
Required: True ,
}
string ,
keyVaultKeyVersion:
{
Description: The version of your Azure Key Vault key to be used to encrypt your data at rest. ,
Required: True ,
}
string ,
keyVaultUri:
{
Description: The URI of your Azure Key Vault, also referred to as DNS name, that contains the key to be used to encrypt your data at rest. An example URI might be `https://my-keyvault-name.vault.azure.net`. ,
Required: True ,
}
string ,
accessCredentials:
{
Description: Optional Azure Active Directory credentials used for accessing your Azure Key Vault. Not required if using managed identity instead. ,
Required: False ,
}
{
applicationId:
{
Description: An AAD Application ID that was granted the required access permissions to the Azure Key Vault that is to be used when encrypting your data at rest. The Application ID should not be confused with the Object ID for your AAD Application. ,
Required: True ,
}
string ,
applicationSecret:
{
Description: The authentication key of the specified AAD application. ,
Required: False ,
}
string ,
}
,
}
,
@odata.etag:
{
Description: The ETag of the synonym map. ,
Required: False ,
}
string ,
}

⚐ Response (default)

{
error:
{
Description: The error object. ,
Required: False ,
}
{
code:
{
Description: The error code. ,
Required: False ,
}
string ,
message:
{
Description: The error message. ,
Required: False ,
}
string ,
target:
{
Description: The error target. ,
Required: False ,
}
string ,
details:
{
Description: The error details. ,
Required: False ,
}
[
string ,
]
,
additionalInfo:
{
Description: The error additional info. ,
Required: False ,
}
[
{
type:
{
Description: The additional info type. ,
Required: False ,
}
string ,
info:
{
Description: The additional info. ,
Required: False ,
}
object ,
}
,
]
,
}
,
}
SynonymMaps_Delete (new)
Description :  Deletes a synonym map.
Reference :  Link ¶

⚼ Request

DELETE:  /synonymmaps('{synonymMapName}')
{
synonymMapName:
{
Description: The name of the synonym map to delete. ,
Required: True ,
}
string ,
x-ms-client-request-id:
{
Description: The tracking ID sent with the request to help with debugging. ,
Format: uuid ,
Required: False ,
}
string ,
If-Match:
{
Description: Defines the If-Match condition. The operation will be performed only if the ETag on the server matches this value. ,
Required: False ,
}
string ,
If-None-Match:
{
Description: Defines the If-None-Match condition. The operation will be performed only if the ETag on the server does not match this value. ,
Required: False ,
}
string ,
api-version:
{
Description: Client Api Version. ,
Required: True ,
}
string ,
}

⚐ Response (204)

{}

⚐ Response (404)

{}

⚐ Response (default)

{
error:
{
Description: The error object. ,
Required: False ,
}
{
code:
{
Description: The error code. ,
Required: False ,
}
string ,
message:
{
Description: The error message. ,
Required: False ,
}
string ,
target:
{
Description: The error target. ,
Required: False ,
}
string ,
details:
{
Description: The error details. ,
Required: False ,
}
[
string ,
]
,
additionalInfo:
{
Description: The error additional info. ,
Required: False ,
}
[
{
type:
{
Description: The additional info type. ,
Required: False ,
}
string ,
info:
{
Description: The additional info. ,
Required: False ,
}
object ,
}
,
]
,
}
,
}
SynonymMaps_Get (new)
Description :  Retrieves a synonym map definition.
Reference :  Link ¶

⚼ Request

GET:  /synonymmaps('{synonymMapName}')
{
synonymMapName:
{
Description: The name of the synonym map to retrieve. ,
Required: True ,
}
string ,
x-ms-client-request-id:
{
Description: The tracking ID sent with the request to help with debugging. ,
Format: uuid ,
Required: False ,
}
string ,
api-version:
{
Description: Client Api Version. ,
Required: True ,
}
string ,
}

⚐ Response (200)

{
name:
{
Description: The name of the synonym map. ,
Required: True ,
}
string ,
format:
{
Description: The format of the synonym map. Only the 'solr' format is currently supported. ,
Enum:
{
solr: Selects the SOLR format for synonym maps. ,
}
,
Required: True ,
}
enum ,
synonyms:
{
Description: A series of synonym rules in the specified synonym map format. The rules must be separated by newlines. ,
Required: True ,
}
string ,
encryptionKey:
{
Description: A description of an encryption key that you create in Azure Key Vault. This key is used to provide an additional level of encryption-at-rest for your data when you want full assurance that no one, not even Microsoft, can decrypt your data. Once you have encrypted your data, it will always remain encrypted. The search service will ignore attempts to set this property to null. You can change this property as needed if you want to rotate your encryption key; Your data will be unaffected. Encryption with customer-managed keys is not available for free search services, and is only available for paid services created on or after January 1, 2019. ,
Required: False ,
}
{
keyVaultKeyName:
{
Description: The name of your Azure Key Vault key to be used to encrypt your data at rest. ,
Required: True ,
}
string ,
keyVaultKeyVersion:
{
Description: The version of your Azure Key Vault key to be used to encrypt your data at rest. ,
Required: True ,
}
string ,
keyVaultUri:
{
Description: The URI of your Azure Key Vault, also referred to as DNS name, that contains the key to be used to encrypt your data at rest. An example URI might be `https://my-keyvault-name.vault.azure.net`. ,
Required: True ,
}
string ,
accessCredentials:
{
Description: Optional Azure Active Directory credentials used for accessing your Azure Key Vault. Not required if using managed identity instead. ,
Required: False ,
}
{
applicationId:
{
Description: An AAD Application ID that was granted the required access permissions to the Azure Key Vault that is to be used when encrypting your data at rest. The Application ID should not be confused with the Object ID for your AAD Application. ,
Required: True ,
}
string ,
applicationSecret:
{
Description: The authentication key of the specified AAD application. ,
Required: False ,
}
string ,
}
,
}
,
@odata.etag:
{
Description: The ETag of the synonym map. ,
Required: False ,
}
string ,
}

⚐ Response (default)

{
error:
{
Description: The error object. ,
Required: False ,
}
{
code:
{
Description: The error code. ,
Required: False ,
}
string ,
message:
{
Description: The error message. ,
Required: False ,
}
string ,
target:
{
Description: The error target. ,
Required: False ,
}
string ,
details:
{
Description: The error details. ,
Required: False ,
}
[
string ,
]
,
additionalInfo:
{
Description: The error additional info. ,
Required: False ,
}
[
{
type:
{
Description: The additional info type. ,
Required: False ,
}
string ,
info:
{
Description: The additional info. ,
Required: False ,
}
object ,
}
,
]
,
}
,
}
SynonymMaps_List (new)
Description :  Lists all synonym maps available for a search service.
Reference :  Link ¶

⚼ Request

GET:  /synonymmaps
{
$select:
{
Description: Selects which top-level properties of the synonym maps to retrieve. Specified as a comma-separated list of JSON property names, or '*' for all properties. The default is all properties. ,
Required: False ,
}
string ,
x-ms-client-request-id:
{
Description: The tracking ID sent with the request to help with debugging. ,
Format: uuid ,
Required: False ,
}
string ,
api-version:
{
Description: Client Api Version. ,
Required: True ,
}
string ,
}

⚐ Response (200)

{
value:
{
Description: The synonym maps in the Search service. ,
Required: True ,
}
[
{
name:
{
Description: The name of the synonym map. ,
Required: True ,
}
string ,
format:
{
Description: The format of the synonym map. Only the 'solr' format is currently supported. ,
Enum:
{
solr: Selects the SOLR format for synonym maps. ,
}
,
Required: True ,
}
enum ,
synonyms:
{
Description: A series of synonym rules in the specified synonym map format. The rules must be separated by newlines. ,
Required: True ,
}
string ,
encryptionKey:
{
Description: A description of an encryption key that you create in Azure Key Vault. This key is used to provide an additional level of encryption-at-rest for your data when you want full assurance that no one, not even Microsoft, can decrypt your data. Once you have encrypted your data, it will always remain encrypted. The search service will ignore attempts to set this property to null. You can change this property as needed if you want to rotate your encryption key; Your data will be unaffected. Encryption with customer-managed keys is not available for free search services, and is only available for paid services created on or after January 1, 2019. ,
Required: False ,
}
{
keyVaultKeyName:
{
Description: The name of your Azure Key Vault key to be used to encrypt your data at rest. ,
Required: True ,
}
string ,
keyVaultKeyVersion:
{
Description: The version of your Azure Key Vault key to be used to encrypt your data at rest. ,
Required: True ,
}
string ,
keyVaultUri:
{
Description: The URI of your Azure Key Vault, also referred to as DNS name, that contains the key to be used to encrypt your data at rest. An example URI might be `https://my-keyvault-name.vault.azure.net`. ,
Required: True ,
}
string ,
accessCredentials:
{
Description: Optional Azure Active Directory credentials used for accessing your Azure Key Vault. Not required if using managed identity instead. ,
Required: False ,
}
{
applicationId:
{
Description: An AAD Application ID that was granted the required access permissions to the Azure Key Vault that is to be used when encrypting your data at rest. The Application ID should not be confused with the Object ID for your AAD Application. ,
Required: True ,
}
string ,
applicationSecret:
{
Description: The authentication key of the specified AAD application. ,
Required: False ,
}
string ,
}
,
}
,
@odata.etag:
{
Description: The ETag of the synonym map. ,
Required: False ,
}
string ,
}
,
]
,
}

⚐ Response (default)

{
error:
{
Description: The error object. ,
Required: False ,
}
{
code:
{
Description: The error code. ,
Required: False ,
}
string ,
message:
{
Description: The error message. ,
Required: False ,
}
string ,
target:
{
Description: The error target. ,
Required: False ,
}
string ,
details:
{
Description: The error details. ,
Required: False ,
}
[
string ,
]
,
additionalInfo:
{
Description: The error additional info. ,
Required: False ,
}
[
{
type:
{
Description: The additional info type. ,
Required: False ,
}
string ,
info:
{
Description: The additional info. ,
Required: False ,
}
object ,
}
,
]
,
}
,
}
SynonymMaps_Create (new)
Description :  Creates a new synonym map.
Reference :  Link ¶

⚼ Request

POST:  /synonymmaps
{
synonymMap:
{
Description: The definition of the synonym map to create. ,
Required: True ,
}
{
name:
{
Description: The name of the synonym map. ,
Required: True ,
}
string ,
format:
{
Description: The format of the synonym map. Only the 'solr' format is currently supported. ,
Enum:
{
solr: Selects the SOLR format for synonym maps. ,
}
,
Required: True ,
}
enum ,
synonyms:
{
Description: A series of synonym rules in the specified synonym map format. The rules must be separated by newlines. ,
Required: True ,
}
string ,
encryptionKey:
{
Description: A description of an encryption key that you create in Azure Key Vault. This key is used to provide an additional level of encryption-at-rest for your data when you want full assurance that no one, not even Microsoft, can decrypt your data. Once you have encrypted your data, it will always remain encrypted. The search service will ignore attempts to set this property to null. You can change this property as needed if you want to rotate your encryption key; Your data will be unaffected. Encryption with customer-managed keys is not available for free search services, and is only available for paid services created on or after January 1, 2019. ,
Required: False ,
}
{
keyVaultKeyName:
{
Description: The name of your Azure Key Vault key to be used to encrypt your data at rest. ,
Required: True ,
}
string ,
keyVaultKeyVersion:
{
Description: The version of your Azure Key Vault key to be used to encrypt your data at rest. ,
Required: True ,
}
string ,
keyVaultUri:
{
Description: The URI of your Azure Key Vault, also referred to as DNS name, that contains the key to be used to encrypt your data at rest. An example URI might be `https://my-keyvault-name.vault.azure.net`. ,
Required: True ,
}
string ,
accessCredentials:
{
Description: Optional Azure Active Directory credentials used for accessing your Azure Key Vault. Not required if using managed identity instead. ,
Required: False ,
}
{
applicationId:
{
Description: An AAD Application ID that was granted the required access permissions to the Azure Key Vault that is to be used when encrypting your data at rest. The Application ID should not be confused with the Object ID for your AAD Application. ,
Required: True ,
}
string ,
applicationSecret:
{
Description: The authentication key of the specified AAD application. ,
Required: False ,
}
string ,
}
,
}
,
@odata.etag:
{
Description: The ETag of the synonym map. ,
Required: False ,
}
string ,
}
,
x-ms-client-request-id:
{
Description: The tracking ID sent with the request to help with debugging. ,
Format: uuid ,
Required: False ,
}
string ,
api-version:
{
Description: Client Api Version. ,
Required: True ,
}
string ,
}

⚐ Response (201)

{
name:
{
Description: The name of the synonym map. ,
Required: True ,
}
string ,
format:
{
Description: The format of the synonym map. Only the 'solr' format is currently supported. ,
Enum:
{
solr: Selects the SOLR format for synonym maps. ,
}
,
Required: True ,
}
enum ,
synonyms:
{
Description: A series of synonym rules in the specified synonym map format. The rules must be separated by newlines. ,
Required: True ,
}
string ,
encryptionKey:
{
Description: A description of an encryption key that you create in Azure Key Vault. This key is used to provide an additional level of encryption-at-rest for your data when you want full assurance that no one, not even Microsoft, can decrypt your data. Once you have encrypted your data, it will always remain encrypted. The search service will ignore attempts to set this property to null. You can change this property as needed if you want to rotate your encryption key; Your data will be unaffected. Encryption with customer-managed keys is not available for free search services, and is only available for paid services created on or after January 1, 2019. ,
Required: False ,
}
{
keyVaultKeyName:
{
Description: The name of your Azure Key Vault key to be used to encrypt your data at rest. ,
Required: True ,
}
string ,
keyVaultKeyVersion:
{
Description: The version of your Azure Key Vault key to be used to encrypt your data at rest. ,
Required: True ,
}
string ,
keyVaultUri:
{
Description: The URI of your Azure Key Vault, also referred to as DNS name, that contains the key to be used to encrypt your data at rest. An example URI might be `https://my-keyvault-name.vault.azure.net`. ,
Required: True ,
}
string ,
accessCredentials:
{
Description: Optional Azure Active Directory credentials used for accessing your Azure Key Vault. Not required if using managed identity instead. ,
Required: False ,
}
{
applicationId:
{
Description: An AAD Application ID that was granted the required access permissions to the Azure Key Vault that is to be used when encrypting your data at rest. The Application ID should not be confused with the Object ID for your AAD Application. ,
Required: True ,
}
string ,
applicationSecret:
{
Description: The authentication key of the specified AAD application. ,
Required: False ,
}
string ,
}
,
}
,
@odata.etag:
{
Description: The ETag of the synonym map. ,
Required: False ,
}
string ,
}

⚐ Response (default)

{
error:
{
Description: The error object. ,
Required: False ,
}
{
code:
{
Description: The error code. ,
Required: False ,
}
string ,
message:
{
Description: The error message. ,
Required: False ,
}
string ,
target:
{
Description: The error target. ,
Required: False ,
}
string ,
details:
{
Description: The error details. ,
Required: False ,
}
[
string ,
]
,
additionalInfo:
{
Description: The error additional info. ,
Required: False ,
}
[
{
type:
{
Description: The additional info type. ,
Required: False ,
}
string ,
info:
{
Description: The additional info. ,
Required: False ,
}
object ,
}
,
]
,
}
,
}
Indexes_Create (new)
Description :  Creates a new search index.
Reference :  Link ¶

⚼ Request

POST:  /indexes
{
index:
{
Description: The definition of the index to create. ,
Required: True ,
}
{
name:
{
Description: The name of the index. ,
Required: True ,
}
string ,
description:
{
Description: The description of the index. ,
Required: False ,
}
string ,
fields:
{
Description: The fields of the index. ,
Required: True ,
}
[
{
name:
{
Description: The name of the field, which must be unique within the fields collection of the index or parent field. ,
Required: True ,
}
string ,
type:
{
Description: The data type of the field. ,
Enum:
{
Edm.String: Indicates that a field contains a string. ,
Edm.Int32: Indicates that a field contains a 32-bit signed integer. ,
Edm.Int64: Indicates that a field contains a 64-bit signed integer. ,
Edm.Double: Indicates that a field contains an IEEE double-precision floating point number. ,
Edm.Boolean: Indicates that a field contains a Boolean value (true or false). ,
Edm.DateTimeOffset: Indicates that a field contains a date/time value, including timezone information. ,
Edm.GeographyPoint: Indicates that a field contains a geo-location in terms of longitude and latitude. ,
Edm.ComplexType: Indicates that a field contains one or more complex objects that in turn have sub-fields of other types. ,
Edm.Single: Indicates that a field contains a single-precision floating point number. This is only valid when used with Collection(Edm.Single). ,
Edm.Half: Indicates that a field contains a half-precision floating point number. This is only valid when used with Collection(Edm.Half). ,
Edm.Int16: Indicates that a field contains a 16-bit signed integer. This is only valid when used with Collection(Edm.Int16). ,
Edm.SByte: Indicates that a field contains a 8-bit signed integer. This is only valid when used with Collection(Edm.SByte). ,
Edm.Byte: Indicates that a field contains a 8-bit unsigned integer. This is only valid when used with Collection(Edm.Byte). ,
}
,
Required: True ,
}
enum ,
key:
{
Description: A value indicating whether the field uniquely identifies documents in the index. Exactly one top-level field in each index must be chosen as the key field and it must be of type Edm.String. Key fields can be used to look up documents directly and update or delete specific documents. Default is false for simple fields and null for complex fields. ,
Required: False ,
}
boolean ,
retrievable:
{
Description: A value indicating whether the field can be returned in a search result. You can disable this option if you want to use a field (for example, margin) as a filter, sorting, or scoring mechanism but do not want the field to be visible to the end user. This property must be true for key fields, and it must be null for complex fields. This property can be changed on existing fields. Enabling this property does not cause any increase in index storage requirements. Default is true for simple fields, false for vector fields, and null for complex fields. ,
Required: False ,
}
boolean ,
stored:
{
Description: An immutable value indicating whether the field will be persisted separately on disk to be returned in a search result. You can disable this option if you don't plan to return the field contents in a search response to save on storage overhead. This can only be set during index creation and only for vector fields. This property cannot be changed for existing fields or set as false for new fields. If this property is set as false, the property 'retrievable' must also be set to false. This property must be true or unset for key fields, for new fields, and for non-vector fields, and it must be null for complex fields. Disabling this property will reduce index storage requirements. The default is true for vector fields. ,
Required: False ,
}
boolean ,
searchable:
{
Description: A value indicating whether the field is full-text searchable. This means it will undergo analysis such as word-breaking during indexing. If you set a searchable field to a value like "sunny day", internally it will be split into the individual tokens "sunny" and "day". This enables full-text searches for these terms. Fields of type Edm.String or Collection(Edm.String) are searchable by default. This property must be false for simple fields of other non-string data types, and it must be null for complex fields. Note: searchable fields consume extra space in your index to accommodate additional tokenized versions of the field value for full-text searches. If you want to save space in your index and you don't need a field to be included in searches, set searchable to false. ,
Required: False ,
}
boolean ,
filterable:
{
Description: A value indicating whether to enable the field to be referenced in $filter queries. filterable differs from searchable in how strings are handled. Fields of type Edm.String or Collection(Edm.String) that are filterable do not undergo word-breaking, so comparisons are for exact matches only. For example, if you set such a field f to "sunny day", $filter=f eq 'sunny' will find no matches, but $filter=f eq 'sunny day' will. This property must be null for complex fields. Default is true for simple fields and null for complex fields. ,
Required: False ,
}
boolean ,
sortable:
{
Description: A value indicating whether to enable the field to be referenced in $orderby expressions. By default, the search engine sorts results by score, but in many experiences users will want to sort by fields in the documents. A simple field can be sortable only if it is single-valued (it has a single value in the scope of the parent document). Simple collection fields cannot be sortable, since they are multi-valued. Simple sub-fields of complex collections are also multi-valued, and therefore cannot be sortable. This is true whether it's an immediate parent field, or an ancestor field, that's the complex collection. Complex fields cannot be sortable and the sortable property must be null for such fields. The default for sortable is true for single-valued simple fields, false for multi-valued simple fields, and null for complex fields. ,
Required: False ,
}
boolean ,
facetable:
{
Description: A value indicating whether to enable the field to be referenced in facet queries. Typically used in a presentation of search results that includes hit count by category (for example, search for digital cameras and see hits by brand, by megapixels, by price, and so on). This property must be null for complex fields. Fields of type Edm.GeographyPoint or Collection(Edm.GeographyPoint) cannot be facetable. Default is true for all other simple fields. ,
Required: False ,
}
boolean ,
analyzer:
{
Description: The name of the analyzer to use for the field. This option can be used only with searchable fields and it can't be set together with either searchAnalyzer or indexAnalyzer. Once the analyzer is chosen, it cannot be changed for the field. Must be null for complex fields. ,
Enum:
{
ar.microsoft: Microsoft analyzer for Arabic. ,
ar.lucene: Lucene analyzer for Arabic. ,
hy.lucene: Lucene analyzer for Armenian. ,
bn.microsoft: Microsoft analyzer for Bangla. ,
eu.lucene: Lucene analyzer for Basque. ,
bg.microsoft: Microsoft analyzer for Bulgarian. ,
bg.lucene: Lucene analyzer for Bulgarian. ,
ca.microsoft: Microsoft analyzer for Catalan. ,
ca.lucene: Lucene analyzer for Catalan. ,
zh-Hans.microsoft: Microsoft analyzer for Chinese (Simplified). ,
zh-Hans.lucene: Lucene analyzer for Chinese (Simplified). ,
zh-Hant.microsoft: Microsoft analyzer for Chinese (Traditional). ,
zh-Hant.lucene: Lucene analyzer for Chinese (Traditional). ,
hr.microsoft: Microsoft analyzer for Croatian. ,
cs.microsoft: Microsoft analyzer for Czech. ,
cs.lucene: Lucene analyzer for Czech. ,
da.microsoft: Microsoft analyzer for Danish. ,
da.lucene: Lucene analyzer for Danish. ,
nl.microsoft: Microsoft analyzer for Dutch. ,
nl.lucene: Lucene analyzer for Dutch. ,
en.microsoft: Microsoft analyzer for English. ,
en.lucene: Lucene analyzer for English. ,
et.microsoft: Microsoft analyzer for Estonian. ,
fi.microsoft: Microsoft analyzer for Finnish. ,
fi.lucene: Lucene analyzer for Finnish. ,
fr.microsoft: Microsoft analyzer for French. ,
fr.lucene: Lucene analyzer for French. ,
gl.lucene: Lucene analyzer for Galician. ,
de.microsoft: Microsoft analyzer for German. ,
de.lucene: Lucene analyzer for German. ,
el.microsoft: Microsoft analyzer for Greek. ,
el.lucene: Lucene analyzer for Greek. ,
gu.microsoft: Microsoft analyzer for Gujarati. ,
he.microsoft: Microsoft analyzer for Hebrew. ,
hi.microsoft: Microsoft analyzer for Hindi. ,
hi.lucene: Lucene analyzer for Hindi. ,
hu.microsoft: Microsoft analyzer for Hungarian. ,
hu.lucene: Lucene analyzer for Hungarian. ,
is.microsoft: Microsoft analyzer for Icelandic. ,
id.microsoft: Microsoft analyzer for Indonesian (Bahasa). ,
id.lucene: Lucene analyzer for Indonesian. ,
ga.lucene: Lucene analyzer for Irish. ,
it.microsoft: Microsoft analyzer for Italian. ,
it.lucene: Lucene analyzer for Italian. ,
ja.microsoft: Microsoft analyzer for Japanese. ,
ja.lucene: Lucene analyzer for Japanese. ,
kn.microsoft: Microsoft analyzer for Kannada. ,
ko.microsoft: Microsoft analyzer for Korean. ,
ko.lucene: Lucene analyzer for Korean. ,
lv.microsoft: Microsoft analyzer for Latvian. ,
lv.lucene: Lucene analyzer for Latvian. ,
lt.microsoft: Microsoft analyzer for Lithuanian. ,
ml.microsoft: Microsoft analyzer for Malayalam. ,
ms.microsoft: Microsoft analyzer for Malay (Latin). ,
mr.microsoft: Microsoft analyzer for Marathi. ,
nb.microsoft: Microsoft analyzer for Norwegian (Bokmål). ,
no.lucene: Lucene analyzer for Norwegian. ,
fa.lucene: Lucene analyzer for Persian. ,
pl.microsoft: Microsoft analyzer for Polish. ,
pl.lucene: Lucene analyzer for Polish. ,
pt-BR.microsoft: Microsoft analyzer for Portuguese (Brazil). ,
pt-BR.lucene: Lucene analyzer for Portuguese (Brazil). ,
pt-PT.microsoft: Microsoft analyzer for Portuguese (Portugal). ,
pt-PT.lucene: Lucene analyzer for Portuguese (Portugal). ,
pa.microsoft: Microsoft analyzer for Punjabi. ,
ro.microsoft: Microsoft analyzer for Romanian. ,
ro.lucene: Lucene analyzer for Romanian. ,
ru.microsoft: Microsoft analyzer for Russian. ,
ru.lucene: Lucene analyzer for Russian. ,
sr-cyrillic.microsoft: Microsoft analyzer for Serbian (Cyrillic). ,
sr-latin.microsoft: Microsoft analyzer for Serbian (Latin). ,
sk.microsoft: Microsoft analyzer for Slovak. ,
sl.microsoft: Microsoft analyzer for Slovenian. ,
es.microsoft: Microsoft analyzer for Spanish. ,
es.lucene: Lucene analyzer for Spanish. ,
sv.microsoft: Microsoft analyzer for Swedish. ,
sv.lucene: Lucene analyzer for Swedish. ,
ta.microsoft: Microsoft analyzer for Tamil. ,
te.microsoft: Microsoft analyzer for Telugu. ,
th.microsoft: Microsoft analyzer for Thai. ,
th.lucene: Lucene analyzer for Thai. ,
tr.microsoft: Microsoft analyzer for Turkish. ,
tr.lucene: Lucene analyzer for Turkish. ,
uk.microsoft: Microsoft analyzer for Ukrainian. ,
ur.microsoft: Microsoft analyzer for Urdu. ,
vi.microsoft: Microsoft analyzer for Vietnamese. ,
standard.lucene: Standard Lucene analyzer. ,
standardasciifolding.lucene: Standard ASCII Folding Lucene analyzer. See https://learn.microsoft.com/rest/api/searchservice/Custom-analyzers-in-Azure-Search#Analyzers ,
keyword: Treats the entire content of a field as a single token. This is useful for data like zip codes, ids, and some product names. See http://lucene.apache.org/core/4_10_3/analyzers-common/org/apache/lucene/analysis/core/KeywordAnalyzer.html ,
pattern: Flexibly separates text into terms via a regular expression pattern. See http://lucene.apache.org/core/4_10_3/analyzers-common/org/apache/lucene/analysis/miscellaneous/PatternAnalyzer.html ,
simple: Divides text at non-letters and converts them to lower case. See http://lucene.apache.org/core/4_10_3/analyzers-common/org/apache/lucene/analysis/core/SimpleAnalyzer.html ,
stop: Divides text at non-letters; Applies the lowercase and stopword token filters. See http://lucene.apache.org/core/4_10_3/analyzers-common/org/apache/lucene/analysis/core/StopAnalyzer.html ,
whitespace: An analyzer that uses the whitespace tokenizer. See http://lucene.apache.org/core/4_10_3/analyzers-common/org/apache/lucene/analysis/core/WhitespaceAnalyzer.html ,
}
,
Required: False ,
}
enum ,
searchAnalyzer:
{
Description: The name of the analyzer used at search time for the field. This option can be used only with searchable fields. It must be set together with indexAnalyzer and it cannot be set together with the analyzer option. This property cannot be set to the name of a language analyzer; use the analyzer property instead if you need a language analyzer. This analyzer can be updated on an existing field. Must be null for complex fields. ,
Enum:
{
ar.microsoft: Microsoft analyzer for Arabic. ,
ar.lucene: Lucene analyzer for Arabic. ,
hy.lucene: Lucene analyzer for Armenian. ,
bn.microsoft: Microsoft analyzer for Bangla. ,
eu.lucene: Lucene analyzer for Basque. ,
bg.microsoft: Microsoft analyzer for Bulgarian. ,
bg.lucene: Lucene analyzer for Bulgarian. ,
ca.microsoft: Microsoft analyzer for Catalan. ,
ca.lucene: Lucene analyzer for Catalan. ,
zh-Hans.microsoft: Microsoft analyzer for Chinese (Simplified). ,
zh-Hans.lucene: Lucene analyzer for Chinese (Simplified). ,
zh-Hant.microsoft: Microsoft analyzer for Chinese (Traditional). ,
zh-Hant.lucene: Lucene analyzer for Chinese (Traditional). ,
hr.microsoft: Microsoft analyzer for Croatian. ,
cs.microsoft: Microsoft analyzer for Czech. ,
cs.lucene: Lucene analyzer for Czech. ,
da.microsoft: Microsoft analyzer for Danish. ,
da.lucene: Lucene analyzer for Danish. ,
nl.microsoft: Microsoft analyzer for Dutch. ,
nl.lucene: Lucene analyzer for Dutch. ,
en.microsoft: Microsoft analyzer for English. ,
en.lucene: Lucene analyzer for English. ,
et.microsoft: Microsoft analyzer for Estonian. ,
fi.microsoft: Microsoft analyzer for Finnish. ,
fi.lucene: Lucene analyzer for Finnish. ,
fr.microsoft: Microsoft analyzer for French. ,
fr.lucene: Lucene analyzer for French. ,
gl.lucene: Lucene analyzer for Galician. ,
de.microsoft: Microsoft analyzer for German. ,
de.lucene: Lucene analyzer for German. ,
el.microsoft: Microsoft analyzer for Greek. ,
el.lucene: Lucene analyzer for Greek. ,
gu.microsoft: Microsoft analyzer for Gujarati. ,
he.microsoft: Microsoft analyzer for Hebrew. ,
hi.microsoft: Microsoft analyzer for Hindi. ,
hi.lucene: Lucene analyzer for Hindi. ,
hu.microsoft: Microsoft analyzer for Hungarian. ,
hu.lucene: Lucene analyzer for Hungarian. ,
is.microsoft: Microsoft analyzer for Icelandic. ,
id.microsoft: Microsoft analyzer for Indonesian (Bahasa). ,
id.lucene: Lucene analyzer for Indonesian. ,
ga.lucene: Lucene analyzer for Irish. ,
it.microsoft: Microsoft analyzer for Italian. ,
it.lucene: Lucene analyzer for Italian. ,
ja.microsoft: Microsoft analyzer for Japanese. ,
ja.lucene: Lucene analyzer for Japanese. ,
kn.microsoft: Microsoft analyzer for Kannada. ,
ko.microsoft: Microsoft analyzer for Korean. ,
ko.lucene: Lucene analyzer for Korean. ,
lv.microsoft: Microsoft analyzer for Latvian. ,
lv.lucene: Lucene analyzer for Latvian. ,
lt.microsoft: Microsoft analyzer for Lithuanian. ,
ml.microsoft: Microsoft analyzer for Malayalam. ,
ms.microsoft: Microsoft analyzer for Malay (Latin). ,
mr.microsoft: Microsoft analyzer for Marathi. ,
nb.microsoft: Microsoft analyzer for Norwegian (Bokmål). ,
no.lucene: Lucene analyzer for Norwegian. ,
fa.lucene: Lucene analyzer for Persian. ,
pl.microsoft: Microsoft analyzer for Polish. ,
pl.lucene: Lucene analyzer for Polish. ,
pt-BR.microsoft: Microsoft analyzer for Portuguese (Brazil). ,
pt-BR.lucene: Lucene analyzer for Portuguese (Brazil). ,
pt-PT.microsoft: Microsoft analyzer for Portuguese (Portugal). ,
pt-PT.lucene: Lucene analyzer for Portuguese (Portugal). ,
pa.microsoft: Microsoft analyzer for Punjabi. ,
ro.microsoft: Microsoft analyzer for Romanian. ,
ro.lucene: Lucene analyzer for Romanian. ,
ru.microsoft: Microsoft analyzer for Russian. ,
ru.lucene: Lucene analyzer for Russian. ,
sr-cyrillic.microsoft: Microsoft analyzer for Serbian (Cyrillic). ,
sr-latin.microsoft: Microsoft analyzer for Serbian (Latin). ,
sk.microsoft: Microsoft analyzer for Slovak. ,
sl.microsoft: Microsoft analyzer for Slovenian. ,
es.microsoft: Microsoft analyzer for Spanish. ,
es.lucene: Lucene analyzer for Spanish. ,
sv.microsoft: Microsoft analyzer for Swedish. ,
sv.lucene: Lucene analyzer for Swedish. ,
ta.microsoft: Microsoft analyzer for Tamil. ,
te.microsoft: Microsoft analyzer for Telugu. ,
th.microsoft: Microsoft analyzer for Thai. ,
th.lucene: Lucene analyzer for Thai. ,
tr.microsoft: Microsoft analyzer for Turkish. ,
tr.lucene: Lucene analyzer for Turkish. ,
uk.microsoft: Microsoft analyzer for Ukrainian. ,
ur.microsoft: Microsoft analyzer for Urdu. ,
vi.microsoft: Microsoft analyzer for Vietnamese. ,
standard.lucene: Standard Lucene analyzer. ,
standardasciifolding.lucene: Standard ASCII Folding Lucene analyzer. See https://learn.microsoft.com/rest/api/searchservice/Custom-analyzers-in-Azure-Search#Analyzers ,
keyword: Treats the entire content of a field as a single token. This is useful for data like zip codes, ids, and some product names. See http://lucene.apache.org/core/4_10_3/analyzers-common/org/apache/lucene/analysis/core/KeywordAnalyzer.html ,
pattern: Flexibly separates text into terms via a regular expression pattern. See http://lucene.apache.org/core/4_10_3/analyzers-common/org/apache/lucene/analysis/miscellaneous/PatternAnalyzer.html ,
simple: Divides text at non-letters and converts them to lower case. See http://lucene.apache.org/core/4_10_3/analyzers-common/org/apache/lucene/analysis/core/SimpleAnalyzer.html ,
stop: Divides text at non-letters; Applies the lowercase and stopword token filters. See http://lucene.apache.org/core/4_10_3/analyzers-common/org/apache/lucene/analysis/core/StopAnalyzer.html ,
whitespace: An analyzer that uses the whitespace tokenizer. See http://lucene.apache.org/core/4_10_3/analyzers-common/org/apache/lucene/analysis/core/WhitespaceAnalyzer.html ,
}
,
Required: False ,
}
enum ,
indexAnalyzer:
{
Description: The name of the analyzer used at indexing time for the field. This option can be used only with searchable fields. It must be set together with searchAnalyzer and it cannot be set together with the analyzer option. This property cannot be set to the name of a language analyzer; use the analyzer property instead if you need a language analyzer. Once the analyzer is chosen, it cannot be changed for the field. Must be null for complex fields. ,
Enum:
{
ar.microsoft: Microsoft analyzer for Arabic. ,
ar.lucene: Lucene analyzer for Arabic. ,
hy.lucene: Lucene analyzer for Armenian. ,
bn.microsoft: Microsoft analyzer for Bangla. ,
eu.lucene: Lucene analyzer for Basque. ,
bg.microsoft: Microsoft analyzer for Bulgarian. ,
bg.lucene: Lucene analyzer for Bulgarian. ,
ca.microsoft: Microsoft analyzer for Catalan. ,
ca.lucene: Lucene analyzer for Catalan. ,
zh-Hans.microsoft: Microsoft analyzer for Chinese (Simplified). ,
zh-Hans.lucene: Lucene analyzer for Chinese (Simplified). ,
zh-Hant.microsoft: Microsoft analyzer for Chinese (Traditional). ,
zh-Hant.lucene: Lucene analyzer for Chinese (Traditional). ,
hr.microsoft: Microsoft analyzer for Croatian. ,
cs.microsoft: Microsoft analyzer for Czech. ,
cs.lucene: Lucene analyzer for Czech. ,
da.microsoft: Microsoft analyzer for Danish. ,
da.lucene: Lucene analyzer for Danish. ,
nl.microsoft: Microsoft analyzer for Dutch. ,
nl.lucene: Lucene analyzer for Dutch. ,
en.microsoft: Microsoft analyzer for English. ,
en.lucene: Lucene analyzer for English. ,
et.microsoft: Microsoft analyzer for Estonian. ,
fi.microsoft: Microsoft analyzer for Finnish. ,
fi.lucene: Lucene analyzer for Finnish. ,
fr.microsoft: Microsoft analyzer for French. ,
fr.lucene: Lucene analyzer for French. ,
gl.lucene: Lucene analyzer for Galician. ,
de.microsoft: Microsoft analyzer for German. ,
de.lucene: Lucene analyzer for German. ,
el.microsoft: Microsoft analyzer for Greek. ,
el.lucene: Lucene analyzer for Greek. ,
gu.microsoft: Microsoft analyzer for Gujarati. ,
he.microsoft: Microsoft analyzer for Hebrew. ,
hi.microsoft: Microsoft analyzer for Hindi. ,
hi.lucene: Lucene analyzer for Hindi. ,
hu.microsoft: Microsoft analyzer for Hungarian. ,
hu.lucene: Lucene analyzer for Hungarian. ,
is.microsoft: Microsoft analyzer for Icelandic. ,
id.microsoft: Microsoft analyzer for Indonesian (Bahasa). ,
id.lucene: Lucene analyzer for Indonesian. ,
ga.lucene: Lucene analyzer for Irish. ,
it.microsoft: Microsoft analyzer for Italian. ,
it.lucene: Lucene analyzer for Italian. ,
ja.microsoft: Microsoft analyzer for Japanese. ,
ja.lucene: Lucene analyzer for Japanese. ,
kn.microsoft: Microsoft analyzer for Kannada. ,
ko.microsoft: Microsoft analyzer for Korean. ,
ko.lucene: Lucene analyzer for Korean. ,
lv.microsoft: Microsoft analyzer for Latvian. ,
lv.lucene: Lucene analyzer for Latvian. ,
lt.microsoft: Microsoft analyzer for Lithuanian. ,
ml.microsoft: Microsoft analyzer for Malayalam. ,
ms.microsoft: Microsoft analyzer for Malay (Latin). ,
mr.microsoft: Microsoft analyzer for Marathi. ,
nb.microsoft: Microsoft analyzer for Norwegian (Bokmål). ,
no.lucene: Lucene analyzer for Norwegian. ,
fa.lucene: Lucene analyzer for Persian. ,
pl.microsoft: Microsoft analyzer for Polish. ,
pl.lucene: Lucene analyzer for Polish. ,
pt-BR.microsoft: Microsoft analyzer for Portuguese (Brazil). ,
pt-BR.lucene: Lucene analyzer for Portuguese (Brazil). ,
pt-PT.microsoft: Microsoft analyzer for Portuguese (Portugal). ,
pt-PT.lucene: Lucene analyzer for Portuguese (Portugal). ,
pa.microsoft: Microsoft analyzer for Punjabi. ,
ro.microsoft: Microsoft analyzer for Romanian. ,
ro.lucene: Lucene analyzer for Romanian. ,
ru.microsoft: Microsoft analyzer for Russian. ,
ru.lucene: Lucene analyzer for Russian. ,
sr-cyrillic.microsoft: Microsoft analyzer for Serbian (Cyrillic). ,
sr-latin.microsoft: Microsoft analyzer for Serbian (Latin). ,
sk.microsoft: Microsoft analyzer for Slovak. ,
sl.microsoft: Microsoft analyzer for Slovenian. ,
es.microsoft: Microsoft analyzer for Spanish. ,
es.lucene: Lucene analyzer for Spanish. ,
sv.microsoft: Microsoft analyzer for Swedish. ,
sv.lucene: Lucene analyzer for Swedish. ,
ta.microsoft: Microsoft analyzer for Tamil. ,
te.microsoft: Microsoft analyzer for Telugu. ,
th.microsoft: Microsoft analyzer for Thai. ,
th.lucene: Lucene analyzer for Thai. ,
tr.microsoft: Microsoft analyzer for Turkish. ,
tr.lucene: Lucene analyzer for Turkish. ,
uk.microsoft: Microsoft analyzer for Ukrainian. ,
ur.microsoft: Microsoft analyzer for Urdu. ,
vi.microsoft: Microsoft analyzer for Vietnamese. ,
standard.lucene: Standard Lucene analyzer. ,
standardasciifolding.lucene: Standard ASCII Folding Lucene analyzer. See https://learn.microsoft.com/rest/api/searchservice/Custom-analyzers-in-Azure-Search#Analyzers ,
keyword: Treats the entire content of a field as a single token. This is useful for data like zip codes, ids, and some product names. See http://lucene.apache.org/core/4_10_3/analyzers-common/org/apache/lucene/analysis/core/KeywordAnalyzer.html ,
pattern: Flexibly separates text into terms via a regular expression pattern. See http://lucene.apache.org/core/4_10_3/analyzers-common/org/apache/lucene/analysis/miscellaneous/PatternAnalyzer.html ,
simple: Divides text at non-letters and converts them to lower case. See http://lucene.apache.org/core/4_10_3/analyzers-common/org/apache/lucene/analysis/core/SimpleAnalyzer.html ,
stop: Divides text at non-letters; Applies the lowercase and stopword token filters. See http://lucene.apache.org/core/4_10_3/analyzers-common/org/apache/lucene/analysis/core/StopAnalyzer.html ,
whitespace: An analyzer that uses the whitespace tokenizer. See http://lucene.apache.org/core/4_10_3/analyzers-common/org/apache/lucene/analysis/core/WhitespaceAnalyzer.html ,
}
,
Required: False ,
}
enum ,
normalizer:
{
Description: The name of the normalizer to use for the field. This option can be used only with fields with filterable, sortable, or facetable enabled. Once the normalizer is chosen, it cannot be changed for the field. Must be null for complex fields. ,
Enum:
{
asciifolding: Converts alphabetic, numeric, and symbolic Unicode characters which are not in the first 127 ASCII characters (the "Basic Latin" Unicode block) into their ASCII equivalents, if such equivalents exist. See http://lucene.apache.org/core/4_10_3/analyzers-common/org/apache/lucene/analysis/miscellaneous/ASCIIFoldingFilter.html ,
elision: Removes elisions. For example, "l'avion" (the plane) will be converted to "avion" (plane). See http://lucene.apache.org/core/4_10_3/analyzers-common/org/apache/lucene/analysis/util/ElisionFilter.html ,
lowercase: Normalizes token text to lowercase. See https://lucene.apache.org/core/6_6_1/analyzers-common/org/apache/lucene/analysis/core/LowerCaseFilter.html ,
standard: Standard normalizer, which consists of lowercase and asciifolding. See http://lucene.apache.org/core/4_10_3/analyzers-common/org/apache/lucene/analysis/reverse/ReverseStringFilter.html ,
uppercase: Normalizes token text to uppercase. See https://lucene.apache.org/core/6_6_1/analyzers-common/org/apache/lucene/analysis/core/UpperCaseFilter.html ,
}
,
Required: False ,
}
enum ,
dimensions:
{
Description: The dimensionality of the vector field. ,
Format: int32 ,
Required: False ,
}
integer ,
vectorSearchProfile:
{
Description: The name of the vector search profile that specifies the algorithm and vectorizer to use when searching the vector field. ,
Required: False ,
}
string ,
vectorEncoding:
{
Description: The encoding format to interpret the field contents. ,
Enum:
{
packedBit: Encoding format representing bits packed into a wider data type. ,
}
,
Required: False ,
}
enum ,
synonymMaps:
{
Description: A list of the names of synonym maps to associate with this field. This option can be used only with searchable fields. Currently only one synonym map per field is supported. Assigning a synonym map to a field ensures that query terms targeting that field are expanded at query-time using the rules in the synonym map. This attribute can be changed on existing fields. Must be null or an empty collection for complex fields. ,
Required: False ,
}
[
string ,
]
,
fields:
{
Description: A list of sub-fields if this is a field of type Edm.ComplexType or Collection(Edm.ComplexType). Must be null or empty for simple fields. ,
Required: False ,
}
[
string ,
]
,
}
,
]
,
scoringProfiles:
{
Description: The scoring profiles for the index. ,
Required: False ,
}
[
{
name:
{
Description: The name of the scoring profile. ,
Required: True ,
}
string ,
text:
{
Description: Parameters that boost scoring based on text matches in certain index fields. ,
Required: False ,
}
{
weights:
{
Description: The dictionary of per-field weights to boost document scoring. The keys are field names and the values are the weights for each field. ,
Required: True ,
}
object ,
}
,
functions:
{
Description: The collection of functions that influence the scoring of documents. ,
Required: False ,
}
[
{
type:
{
Description: Indicates the type of function to use. Valid values include magnitude, freshness, distance, and tag. The function type must be lower case. ,
Required: True ,
}
string ,
fieldName:
{
Description: The name of the field used as input to the scoring function. ,
Required: True ,
}
string ,
boost:
{
Description: A multiplier for the raw score. Must be a positive number not equal to 1.0. ,
Format: double ,
Required: True ,
}
number ,
interpolation:
{
Description: A value indicating how boosting will be interpolated across document scores; defaults to "Linear". ,
Enum:
{
linear: Boosts scores by a linearly decreasing amount. This is the default interpolation for scoring functions. ,
constant: Boosts scores by a constant factor. ,
quadratic: Boosts scores by an amount that decreases quadratically. Boosts decrease slowly for higher scores, and more quickly as the scores decrease. This interpolation option is not allowed in tag scoring functions. ,
logarithmic: Boosts scores by an amount that decreases logarithmically. Boosts decrease quickly for higher scores, and more slowly as the scores decrease. This interpolation option is not allowed in tag scoring functions. ,
}
,
Required: False ,
}
enum ,
}
,
]
,
functionAggregation:
{
Description: A value indicating how the results of individual scoring functions should be combined. Defaults to "Sum". Ignored if there are no scoring functions. ,
Enum:
{
sum: Boost scores by the sum of all scoring function results. ,
average: Boost scores by the average of all scoring function results. ,
minimum: Boost scores by the minimum of all scoring function results. ,
maximum: Boost scores by the maximum of all scoring function results. ,
firstMatching: Boost scores using the first applicable scoring function in the scoring profile. ,
}
,
Required: False ,
}
enum ,
}
,
]
,
defaultScoringProfile:
{
Description: The name of the scoring profile to use if none is specified in the query. If this property is not set and no scoring profile is specified in the query, then default scoring (tf-idf) will be used. ,
Required: False ,
}
string ,
corsOptions:
{
Description: Options to control Cross-Origin Resource Sharing (CORS) for the index. ,
Required: False ,
}
{
allowedOrigins:
{
Description: The list of origins from which JavaScript code will be granted access to your index. Can contain a list of hosts of the form {protocol}://{fully-qualified-domain-name}[:{port#}], or a single '*' to allow all origins (not recommended). ,
Required: True ,
}
[
string ,
]
,
maxAgeInSeconds:
{
Description: The duration for which browsers should cache CORS preflight responses. Defaults to 5 minutes. ,
Format: int64 ,
Required: False ,
}
integer ,
}
,
suggesters:
{
Description: The suggesters for the index. ,
Required: False ,
}
[
{
name:
{
Description: The name of the suggester. ,
Required: True ,
}
string ,
searchMode:
{
Description: A value indicating the capabilities of the suggester. ,
Enum:
{
analyzingInfixMatching: Matches consecutive whole terms and prefixes in a field. For example, for the field 'The fastest brown fox', the queries 'fast' and 'fastest brow' would both match. ,
}
,
Required: True ,
}
enum ,
sourceFields:
{
Description: The list of field names to which the suggester applies. Each field must be searchable. ,
Required: True ,
}
[
string ,
]
,
}
,
]
,
analyzers:
{
Description: The analyzers for the index. ,
Required: False ,
}
[
{
@odata.type:
{
Description: A URI fragment specifying the type of analyzer. ,
Required: True ,
}
string ,
name:
{
Description: The name of the analyzer. It must only contain letters, digits, spaces, dashes or underscores, can only start and end with alphanumeric characters, and is limited to 128 characters. ,
Required: True ,
}
string ,
}
,
]
,
tokenizers:
{
Description: The tokenizers for the index. ,
Required: False ,
}
[
{
@odata.type:
{
Description: A URI fragment specifying the type of tokenizer. ,
Required: True ,
}
string ,
name:
{
Description: The name of the tokenizer. It must only contain letters, digits, spaces, dashes or underscores, can only start and end with alphanumeric characters, and is limited to 128 characters. ,
Required: True ,
}
string ,
}
,
]
,
tokenFilters:
{
Description: The token filters for the index. ,
Required: False ,
}
[
{
@odata.type:
{
Description: A URI fragment specifying the type of token filter. ,
Required: True ,
}
string ,
name:
{
Description: The name of the token filter. It must only contain letters, digits, spaces, dashes or underscores, can only start and end with alphanumeric characters, and is limited to 128 characters. ,
Required: True ,
}
string ,
}
,
]
,
charFilters:
{
Description: The character filters for the index. ,
Required: False ,
}
[
{
@odata.type:
{
Description: A URI fragment specifying the type of char filter. ,
Required: True ,
}
string ,
name:
{
Description: The name of the char filter. It must only contain letters, digits, spaces, dashes or underscores, can only start and end with alphanumeric characters, and is limited to 128 characters. ,
Required: True ,
}
string ,
}
,
]
,
normalizers:
{
Description: The normalizers for the index. ,
Required: False ,
}
[
{
@odata.type:
{
Description: A URI fragment specifying the type of normalizer. ,
Required: True ,
}
string ,
name:
{
Description: The name of the normalizer. It must only contain letters, digits, spaces, dashes or underscores, can only start and end with alphanumeric characters, and is limited to 128 characters. It cannot end in '.microsoft' nor '.lucene', nor be named 'asciifolding', 'standard', 'lowercase', 'uppercase', or 'elision'. ,
Required: True ,
}
string ,
}
,
]
,
encryptionKey:
{
Description: A description of an encryption key that you create in Azure Key Vault. This key is used to provide an additional level of encryption-at-rest for your data when you want full assurance that no one, not even Microsoft, can decrypt your data. Once you have encrypted your data, it will always remain encrypted. The search service will ignore attempts to set this property to null. You can change this property as needed if you want to rotate your encryption key; Your data will be unaffected. Encryption with customer-managed keys is not available for free search services, and is only available for paid services created on or after January 1, 2019. ,
Required: False ,
}
{
keyVaultKeyName:
{
Description: The name of your Azure Key Vault key to be used to encrypt your data at rest. ,
Required: True ,
}
string ,
keyVaultKeyVersion:
{
Description: The version of your Azure Key Vault key to be used to encrypt your data at rest. ,
Required: True ,
}
string ,
keyVaultUri:
{
Description: The URI of your Azure Key Vault, also referred to as DNS name, that contains the key to be used to encrypt your data at rest. An example URI might be `https://my-keyvault-name.vault.azure.net`. ,
Required: True ,
}
string ,
accessCredentials:
{
Description: Optional Azure Active Directory credentials used for accessing your Azure Key Vault. Not required if using managed identity instead. ,
Required: False ,
}
{
applicationId:
{
Description: An AAD Application ID that was granted the required access permissions to the Azure Key Vault that is to be used when encrypting your data at rest. The Application ID should not be confused with the Object ID for your AAD Application. ,
Required: True ,
}
string ,
applicationSecret:
{
Description: The authentication key of the specified AAD application. ,
Required: False ,
}
string ,
}
,
}
,
similarity:
{
Description: The type of similarity algorithm to be used when scoring and ranking the documents matching a search query. The similarity algorithm can only be defined at index creation time and cannot be modified on existing indexes. If null, the ClassicSimilarity algorithm is used. ,
Required: False ,
}
{
@odata.type:
{
Required: True ,
}
string ,
}
,
semantic:
{
Description: Defines parameters for a search index that influence semantic capabilities. ,
Required: False ,
}
{
defaultConfiguration:
{
Description: Allows you to set the name of a default semantic configuration in your index, making it optional to pass it on as a query parameter every time. ,
Required: False ,
}
string ,
configurations:
{
Description: The semantic configurations for the index. ,
Required: False ,
}
[
{
name:
{
Description: The name of the semantic configuration. ,
Required: True ,
}
string ,
prioritizedFields:
{
Description: Describes the title, content, and keyword fields to be used for semantic ranking, captions, highlights, and answers. At least one of the three sub properties (titleField, prioritizedKeywordsFields and prioritizedContentFields) need to be set. ,
Required: True ,
}
{
titleField:
{
Description: Defines the title field to be used for semantic ranking, captions, highlights, and answers. If you don't have a title field in your index, leave this blank. ,
Required: False ,
}
{
fieldName:
{
Required: True ,
}
string ,
}
,
prioritizedContentFields:
{
Description: Defines the content fields to be used for semantic ranking, captions, highlights, and answers. For the best result, the selected fields should contain text in natural language form. The order of the fields in the array represents their priority. Fields with lower priority may get truncated if the content is long. ,
Required: False ,
}
[
{
fieldName:
{
Required: True ,
}
string ,
}
,
]
,
prioritizedKeywordsFields:
{
Description: Defines the keyword fields to be used for semantic ranking, captions, highlights, and answers. For the best result, the selected fields should contain a list of keywords. The order of the fields in the array represents their priority. Fields with lower priority may get truncated if the content is long. ,
Required: False ,
}
[
{
fieldName:
{
Required: True ,
}
string ,
}
,
]
,
}
,
rankingOrder:
{
Description: Specifies the score type to be used for the sort order of the search results. ,
Enum:
{
BoostedRerankerScore: Sets sort order as BoostedRerankerScore ,
RerankerScore: Sets sort order as ReRankerScore ,
}
,
Required: False ,
}
enum ,
}
,
]
,
}
,
vectorSearch:
{
Description: Contains configuration options related to vector search. ,
Required: False ,
}
{
profiles:
{
Description: Defines combinations of configurations to use with vector search. ,
Required: False ,
}
[
{
name:
{
Description: The name to associate with this particular vector search profile. ,
Required: True ,
}
string ,
algorithm:
{
Description: The name of the vector search algorithm configuration that specifies the algorithm and optional parameters. ,
Required: True ,
}
string ,
vectorizer:
{
Description: The name of the vectorization being configured for use with vector search. ,
Required: False ,
}
string ,
compression:
{
Description: The name of the compression method configuration that specifies the compression method and optional parameters. ,
Required: False ,
}
string ,
}
,
]
,
algorithms:
{
Description: Contains configuration options specific to the algorithm used during indexing or querying. ,
Required: False ,
}
[
{
name:
{
Description: The name to associate with this particular configuration. ,
Required: True ,
}
string ,
kind:
{
Description: The name of the kind of algorithm being configured for use with vector search. ,
Enum:
{
hnsw: HNSW (Hierarchical Navigable Small World), a type of approximate nearest neighbors algorithm. ,
exhaustiveKnn: Exhaustive KNN algorithm which will perform brute-force search. ,
}
,
Required: True ,
}
enum ,
}
,
]
,
vectorizers:
{
Description: Contains configuration options on how to vectorize text vector queries. ,
Required: False ,
}
[
{
name:
{
Description: The name to associate with this particular vectorization method. ,
Required: True ,
}
string ,
kind:
{
Description: The name of the kind of vectorization method being configured for use with vector search. ,
Enum:
{
azureOpenAI: Generate embeddings using an Azure OpenAI resource at query time. ,
customWebApi: Generate embeddings using a custom web endpoint at query time. ,
}
,
Required: True ,
}
enum ,
}
,
]
,
compressions:
{
Description: Contains configuration options specific to the compression method used during indexing or querying. ,
Required: False ,
}
[
{
name:
{
Description: The name to associate with this particular configuration. ,
Required: True ,
}
string ,
kind:
{
Description: The name of the kind of compression method being configured for use with vector search. ,
Enum:
{
scalarQuantization: Scalar Quantization, a type of compression method. In scalar quantization, the original vectors values are compressed to a narrower type by discretizing and representing each component of a vector using a reduced set of quantized values, thereby reducing the overall data size. ,
binaryQuantization: Binary Quantization, a type of compression method. In binary quantization, the original vectors values are compressed to the narrower binary type by discretizing and representing each component of a vector using binary values, thereby reducing the overall data size. ,
}
,
Required: True ,
}
enum ,
rescoringOptions:
{
Description: Contains the options for rescoring. ,
Required: False ,
}
{
enableRescoring:
{
Description: If set to true, after the initial search on the compressed vectors, the similarity scores are recalculated using the full-precision vectors. This will improve recall at the expense of latency. ,
Required: False ,
}
boolean ,
defaultOversampling:
{
Description: Default oversampling factor. Oversampling retrieves a greater set of potential documents to offset the resolution loss due to quantization. This increases the set of results that will be rescored on full-precision vectors. Minimum value is 1, meaning no oversampling (1x). This parameter can only be set when 'enableRescoring' is true. Higher values improve recall at the expense of latency. ,
Format: double ,
Required: False ,
}
number ,
rescoreStorageMethod:
{
Description: Controls the storage method for original vectors. This setting is immutable. ,
Enum:
{
preserveOriginals: This option preserves the original full-precision vectors. Choose this option for maximum flexibility and highest quality of compressed search results. This consumes more storage but allows for rescoring and oversampling. ,
discardOriginals: This option discards the original full-precision vectors. Choose this option for maximum storage savings. Since this option does not allow for rescoring and oversampling, it will often cause slight to moderate reductions in quality. ,
}
,
Required: False ,
}
enum ,
}
,
truncationDimension:
{
Description: The number of dimensions to truncate the vectors to. Truncating the vectors reduces the size of the vectors and the amount of data that needs to be transferred during search. This can save storage cost and improve search performance at the expense of recall. It should be only used for embeddings trained with Matryoshka Representation Learning (MRL) such as OpenAI text-embedding-3-large (small). The default value is null, which means no truncation. ,
Format: int32 ,
Required: False ,
}
integer ,
}
,
]
,
}
,
@odata.etag:
{
Description: The ETag of the index. ,
Required: False ,
}
string ,
}
,
x-ms-client-request-id:
{
Description: The tracking ID sent with the request to help with debugging. ,
Format: uuid ,
Required: False ,
}
string ,
api-version:
{
Description: Client Api Version. ,
Required: True ,
}
string ,
}

⚐ Response (201)

{
name:
{
Description: The name of the index. ,
Required: True ,
}
string ,
description:
{
Description: The description of the index. ,
Required: False ,
}
string ,
fields:
{
Description: The fields of the index. ,
Required: True ,
}
[
{
name:
{
Description: The name of the field, which must be unique within the fields collection of the index or parent field. ,
Required: True ,
}
string ,
type:
{
Description: The data type of the field. ,
Enum:
{
Edm.String: Indicates that a field contains a string. ,
Edm.Int32: Indicates that a field contains a 32-bit signed integer. ,
Edm.Int64: Indicates that a field contains a 64-bit signed integer. ,
Edm.Double: Indicates that a field contains an IEEE double-precision floating point number. ,
Edm.Boolean: Indicates that a field contains a Boolean value (true or false). ,
Edm.DateTimeOffset: Indicates that a field contains a date/time value, including timezone information. ,
Edm.GeographyPoint: Indicates that a field contains a geo-location in terms of longitude and latitude. ,
Edm.ComplexType: Indicates that a field contains one or more complex objects that in turn have sub-fields of other types. ,
Edm.Single: Indicates that a field contains a single-precision floating point number. This is only valid when used with Collection(Edm.Single). ,
Edm.Half: Indicates that a field contains a half-precision floating point number. This is only valid when used with Collection(Edm.Half). ,
Edm.Int16: Indicates that a field contains a 16-bit signed integer. This is only valid when used with Collection(Edm.Int16). ,
Edm.SByte: Indicates that a field contains a 8-bit signed integer. This is only valid when used with Collection(Edm.SByte). ,
Edm.Byte: Indicates that a field contains a 8-bit unsigned integer. This is only valid when used with Collection(Edm.Byte). ,
}
,
Required: True ,
}
enum ,
key:
{
Description: A value indicating whether the field uniquely identifies documents in the index. Exactly one top-level field in each index must be chosen as the key field and it must be of type Edm.String. Key fields can be used to look up documents directly and update or delete specific documents. Default is false for simple fields and null for complex fields. ,
Required: False ,
}
boolean ,
retrievable:
{
Description: A value indicating whether the field can be returned in a search result. You can disable this option if you want to use a field (for example, margin) as a filter, sorting, or scoring mechanism but do not want the field to be visible to the end user. This property must be true for key fields, and it must be null for complex fields. This property can be changed on existing fields. Enabling this property does not cause any increase in index storage requirements. Default is true for simple fields, false for vector fields, and null for complex fields. ,
Required: False ,
}
boolean ,
stored:
{
Description: An immutable value indicating whether the field will be persisted separately on disk to be returned in a search result. You can disable this option if you don't plan to return the field contents in a search response to save on storage overhead. This can only be set during index creation and only for vector fields. This property cannot be changed for existing fields or set as false for new fields. If this property is set as false, the property 'retrievable' must also be set to false. This property must be true or unset for key fields, for new fields, and for non-vector fields, and it must be null for complex fields. Disabling this property will reduce index storage requirements. The default is true for vector fields. ,
Required: False ,
}
boolean ,
searchable:
{
Description: A value indicating whether the field is full-text searchable. This means it will undergo analysis such as word-breaking during indexing. If you set a searchable field to a value like "sunny day", internally it will be split into the individual tokens "sunny" and "day". This enables full-text searches for these terms. Fields of type Edm.String or Collection(Edm.String) are searchable by default. This property must be false for simple fields of other non-string data types, and it must be null for complex fields. Note: searchable fields consume extra space in your index to accommodate additional tokenized versions of the field value for full-text searches. If you want to save space in your index and you don't need a field to be included in searches, set searchable to false. ,
Required: False ,
}
boolean ,
filterable:
{
Description: A value indicating whether to enable the field to be referenced in $filter queries. filterable differs from searchable in how strings are handled. Fields of type Edm.String or Collection(Edm.String) that are filterable do not undergo word-breaking, so comparisons are for exact matches only. For example, if you set such a field f to "sunny day", $filter=f eq 'sunny' will find no matches, but $filter=f eq 'sunny day' will. This property must be null for complex fields. Default is true for simple fields and null for complex fields. ,
Required: False ,
}
boolean ,
sortable:
{
Description: A value indicating whether to enable the field to be referenced in $orderby expressions. By default, the search engine sorts results by score, but in many experiences users will want to sort by fields in the documents. A simple field can be sortable only if it is single-valued (it has a single value in the scope of the parent document). Simple collection fields cannot be sortable, since they are multi-valued. Simple sub-fields of complex collections are also multi-valued, and therefore cannot be sortable. This is true whether it's an immediate parent field, or an ancestor field, that's the complex collection. Complex fields cannot be sortable and the sortable property must be null for such fields. The default for sortable is true for single-valued simple fields, false for multi-valued simple fields, and null for complex fields. ,
Required: False ,
}
boolean ,
facetable:
{
Description: A value indicating whether to enable the field to be referenced in facet queries. Typically used in a presentation of search results that includes hit count by category (for example, search for digital cameras and see hits by brand, by megapixels, by price, and so on). This property must be null for complex fields. Fields of type Edm.GeographyPoint or Collection(Edm.GeographyPoint) cannot be facetable. Default is true for all other simple fields. ,
Required: False ,
}
boolean ,
analyzer:
{
Description: The name of the analyzer to use for the field. This option can be used only with searchable fields and it can't be set together with either searchAnalyzer or indexAnalyzer. Once the analyzer is chosen, it cannot be changed for the field. Must be null for complex fields. ,
Enum:
{
ar.microsoft: Microsoft analyzer for Arabic. ,
ar.lucene: Lucene analyzer for Arabic. ,
hy.lucene: Lucene analyzer for Armenian. ,
bn.microsoft: Microsoft analyzer for Bangla. ,
eu.lucene: Lucene analyzer for Basque. ,
bg.microsoft: Microsoft analyzer for Bulgarian. ,
bg.lucene: Lucene analyzer for Bulgarian. ,
ca.microsoft: Microsoft analyzer for Catalan. ,
ca.lucene: Lucene analyzer for Catalan. ,
zh-Hans.microsoft: Microsoft analyzer for Chinese (Simplified). ,
zh-Hans.lucene: Lucene analyzer for Chinese (Simplified). ,
zh-Hant.microsoft: Microsoft analyzer for Chinese (Traditional). ,
zh-Hant.lucene: Lucene analyzer for Chinese (Traditional). ,
hr.microsoft: Microsoft analyzer for Croatian. ,
cs.microsoft: Microsoft analyzer for Czech. ,
cs.lucene: Lucene analyzer for Czech. ,
da.microsoft: Microsoft analyzer for Danish. ,
da.lucene: Lucene analyzer for Danish. ,
nl.microsoft: Microsoft analyzer for Dutch. ,
nl.lucene: Lucene analyzer for Dutch. ,
en.microsoft: Microsoft analyzer for English. ,
en.lucene: Lucene analyzer for English. ,
et.microsoft: Microsoft analyzer for Estonian. ,
fi.microsoft: Microsoft analyzer for Finnish. ,
fi.lucene: Lucene analyzer for Finnish. ,
fr.microsoft: Microsoft analyzer for French. ,
fr.lucene: Lucene analyzer for French. ,
gl.lucene: Lucene analyzer for Galician. ,
de.microsoft: Microsoft analyzer for German. ,
de.lucene: Lucene analyzer for German. ,
el.microsoft: Microsoft analyzer for Greek. ,
el.lucene: Lucene analyzer for Greek. ,
gu.microsoft: Microsoft analyzer for Gujarati. ,
he.microsoft: Microsoft analyzer for Hebrew. ,
hi.microsoft: Microsoft analyzer for Hindi. ,
hi.lucene: Lucene analyzer for Hindi. ,
hu.microsoft: Microsoft analyzer for Hungarian. ,
hu.lucene: Lucene analyzer for Hungarian. ,
is.microsoft: Microsoft analyzer for Icelandic. ,
id.microsoft: Microsoft analyzer for Indonesian (Bahasa). ,
id.lucene: Lucene analyzer for Indonesian. ,
ga.lucene: Lucene analyzer for Irish. ,
it.microsoft: Microsoft analyzer for Italian. ,
it.lucene: Lucene analyzer for Italian. ,
ja.microsoft: Microsoft analyzer for Japanese. ,
ja.lucene: Lucene analyzer for Japanese. ,
kn.microsoft: Microsoft analyzer for Kannada. ,
ko.microsoft: Microsoft analyzer for Korean. ,
ko.lucene: Lucene analyzer for Korean. ,
lv.microsoft: Microsoft analyzer for Latvian. ,
lv.lucene: Lucene analyzer for Latvian. ,
lt.microsoft: Microsoft analyzer for Lithuanian. ,
ml.microsoft: Microsoft analyzer for Malayalam. ,
ms.microsoft: Microsoft analyzer for Malay (Latin). ,
mr.microsoft: Microsoft analyzer for Marathi. ,
nb.microsoft: Microsoft analyzer for Norwegian (Bokmål). ,
no.lucene: Lucene analyzer for Norwegian. ,
fa.lucene: Lucene analyzer for Persian. ,
pl.microsoft: Microsoft analyzer for Polish. ,
pl.lucene: Lucene analyzer for Polish. ,
pt-BR.microsoft: Microsoft analyzer for Portuguese (Brazil). ,
pt-BR.lucene: Lucene analyzer for Portuguese (Brazil). ,
pt-PT.microsoft: Microsoft analyzer for Portuguese (Portugal). ,
pt-PT.lucene: Lucene analyzer for Portuguese (Portugal). ,
pa.microsoft: Microsoft analyzer for Punjabi. ,
ro.microsoft: Microsoft analyzer for Romanian. ,
ro.lucene: Lucene analyzer for Romanian. ,
ru.microsoft: Microsoft analyzer for Russian. ,
ru.lucene: Lucene analyzer for Russian. ,
sr-cyrillic.microsoft: Microsoft analyzer for Serbian (Cyrillic). ,
sr-latin.microsoft: Microsoft analyzer for Serbian (Latin). ,
sk.microsoft: Microsoft analyzer for Slovak. ,
sl.microsoft: Microsoft analyzer for Slovenian. ,
es.microsoft: Microsoft analyzer for Spanish. ,
es.lucene: Lucene analyzer for Spanish. ,
sv.microsoft: Microsoft analyzer for Swedish. ,
sv.lucene: Lucene analyzer for Swedish. ,
ta.microsoft: Microsoft analyzer for Tamil. ,
te.microsoft: Microsoft analyzer for Telugu. ,
th.microsoft: Microsoft analyzer for Thai. ,
th.lucene: Lucene analyzer for Thai. ,
tr.microsoft: Microsoft analyzer for Turkish. ,
tr.lucene: Lucene analyzer for Turkish. ,
uk.microsoft: Microsoft analyzer for Ukrainian. ,
ur.microsoft: Microsoft analyzer for Urdu. ,
vi.microsoft: Microsoft analyzer for Vietnamese. ,
standard.lucene: Standard Lucene analyzer. ,
standardasciifolding.lucene: Standard ASCII Folding Lucene analyzer. See https://learn.microsoft.com/rest/api/searchservice/Custom-analyzers-in-Azure-Search#Analyzers ,
keyword: Treats the entire content of a field as a single token. This is useful for data like zip codes, ids, and some product names. See http://lucene.apache.org/core/4_10_3/analyzers-common/org/apache/lucene/analysis/core/KeywordAnalyzer.html ,
pattern: Flexibly separates text into terms via a regular expression pattern. See http://lucene.apache.org/core/4_10_3/analyzers-common/org/apache/lucene/analysis/miscellaneous/PatternAnalyzer.html ,
simple: Divides text at non-letters and converts them to lower case. See http://lucene.apache.org/core/4_10_3/analyzers-common/org/apache/lucene/analysis/core/SimpleAnalyzer.html ,
stop: Divides text at non-letters; Applies the lowercase and stopword token filters. See http://lucene.apache.org/core/4_10_3/analyzers-common/org/apache/lucene/analysis/core/StopAnalyzer.html ,
whitespace: An analyzer that uses the whitespace tokenizer. See http://lucene.apache.org/core/4_10_3/analyzers-common/org/apache/lucene/analysis/core/WhitespaceAnalyzer.html ,
}
,
Required: False ,
}
enum ,
searchAnalyzer:
{
Description: The name of the analyzer used at search time for the field. This option can be used only with searchable fields. It must be set together with indexAnalyzer and it cannot be set together with the analyzer option. This property cannot be set to the name of a language analyzer; use the analyzer property instead if you need a language analyzer. This analyzer can be updated on an existing field. Must be null for complex fields. ,
Enum:
{
ar.microsoft: Microsoft analyzer for Arabic. ,
ar.lucene: Lucene analyzer for Arabic. ,
hy.lucene: Lucene analyzer for Armenian. ,
bn.microsoft: Microsoft analyzer for Bangla. ,
eu.lucene: Lucene analyzer for Basque. ,
bg.microsoft: Microsoft analyzer for Bulgarian. ,
bg.lucene: Lucene analyzer for Bulgarian. ,
ca.microsoft: Microsoft analyzer for Catalan. ,
ca.lucene: Lucene analyzer for Catalan. ,
zh-Hans.microsoft: Microsoft analyzer for Chinese (Simplified). ,
zh-Hans.lucene: Lucene analyzer for Chinese (Simplified). ,
zh-Hant.microsoft: Microsoft analyzer for Chinese (Traditional). ,
zh-Hant.lucene: Lucene analyzer for Chinese (Traditional). ,
hr.microsoft: Microsoft analyzer for Croatian. ,
cs.microsoft: Microsoft analyzer for Czech. ,
cs.lucene: Lucene analyzer for Czech. ,
da.microsoft: Microsoft analyzer for Danish. ,
da.lucene: Lucene analyzer for Danish. ,
nl.microsoft: Microsoft analyzer for Dutch. ,
nl.lucene: Lucene analyzer for Dutch. ,
en.microsoft: Microsoft analyzer for English. ,
en.lucene: Lucene analyzer for English. ,
et.microsoft: Microsoft analyzer for Estonian. ,
fi.microsoft: Microsoft analyzer for Finnish. ,
fi.lucene: Lucene analyzer for Finnish. ,
fr.microsoft: Microsoft analyzer for French. ,
fr.lucene: Lucene analyzer for French. ,
gl.lucene: Lucene analyzer for Galician. ,
de.microsoft: Microsoft analyzer for German. ,
de.lucene: Lucene analyzer for German. ,
el.microsoft: Microsoft analyzer for Greek. ,
el.lucene: Lucene analyzer for Greek. ,
gu.microsoft: Microsoft analyzer for Gujarati. ,
he.microsoft: Microsoft analyzer for Hebrew. ,
hi.microsoft: Microsoft analyzer for Hindi. ,
hi.lucene: Lucene analyzer for Hindi. ,
hu.microsoft: Microsoft analyzer for Hungarian. ,
hu.lucene: Lucene analyzer for Hungarian. ,
is.microsoft: Microsoft analyzer for Icelandic. ,
id.microsoft: Microsoft analyzer for Indonesian (Bahasa). ,
id.lucene: Lucene analyzer for Indonesian. ,
ga.lucene: Lucene analyzer for Irish. ,
it.microsoft: Microsoft analyzer for Italian. ,
it.lucene: Lucene analyzer for Italian. ,
ja.microsoft: Microsoft analyzer for Japanese. ,
ja.lucene: Lucene analyzer for Japanese. ,
kn.microsoft: Microsoft analyzer for Kannada. ,
ko.microsoft: Microsoft analyzer for Korean. ,
ko.lucene: Lucene analyzer for Korean. ,
lv.microsoft: Microsoft analyzer for Latvian. ,
lv.lucene: Lucene analyzer for Latvian. ,
lt.microsoft: Microsoft analyzer for Lithuanian. ,
ml.microsoft: Microsoft analyzer for Malayalam. ,
ms.microsoft: Microsoft analyzer for Malay (Latin). ,
mr.microsoft: Microsoft analyzer for Marathi. ,
nb.microsoft: Microsoft analyzer for Norwegian (Bokmål). ,
no.lucene: Lucene analyzer for Norwegian. ,
fa.lucene: Lucene analyzer for Persian. ,
pl.microsoft: Microsoft analyzer for Polish. ,
pl.lucene: Lucene analyzer for Polish. ,
pt-BR.microsoft: Microsoft analyzer for Portuguese (Brazil). ,
pt-BR.lucene: Lucene analyzer for Portuguese (Brazil). ,
pt-PT.microsoft: Microsoft analyzer for Portuguese (Portugal). ,
pt-PT.lucene: Lucene analyzer for Portuguese (Portugal). ,
pa.microsoft: Microsoft analyzer for Punjabi. ,
ro.microsoft: Microsoft analyzer for Romanian. ,
ro.lucene: Lucene analyzer for Romanian. ,
ru.microsoft: Microsoft analyzer for Russian. ,
ru.lucene: Lucene analyzer for Russian. ,
sr-cyrillic.microsoft: Microsoft analyzer for Serbian (Cyrillic). ,
sr-latin.microsoft: Microsoft analyzer for Serbian (Latin). ,
sk.microsoft: Microsoft analyzer for Slovak. ,
sl.microsoft: Microsoft analyzer for Slovenian. ,
es.microsoft: Microsoft analyzer for Spanish. ,
es.lucene: Lucene analyzer for Spanish. ,
sv.microsoft: Microsoft analyzer for Swedish. ,
sv.lucene: Lucene analyzer for Swedish. ,
ta.microsoft: Microsoft analyzer for Tamil. ,
te.microsoft: Microsoft analyzer for Telugu. ,
th.microsoft: Microsoft analyzer for Thai. ,
th.lucene: Lucene analyzer for Thai. ,
tr.microsoft: Microsoft analyzer for Turkish. ,
tr.lucene: Lucene analyzer for Turkish. ,
uk.microsoft: Microsoft analyzer for Ukrainian. ,
ur.microsoft: Microsoft analyzer for Urdu. ,
vi.microsoft: Microsoft analyzer for Vietnamese. ,
standard.lucene: Standard Lucene analyzer. ,
standardasciifolding.lucene: Standard ASCII Folding Lucene analyzer. See https://learn.microsoft.com/rest/api/searchservice/Custom-analyzers-in-Azure-Search#Analyzers ,
keyword: Treats the entire content of a field as a single token. This is useful for data like zip codes, ids, and some product names. See http://lucene.apache.org/core/4_10_3/analyzers-common/org/apache/lucene/analysis/core/KeywordAnalyzer.html ,
pattern: Flexibly separates text into terms via a regular expression pattern. See http://lucene.apache.org/core/4_10_3/analyzers-common/org/apache/lucene/analysis/miscellaneous/PatternAnalyzer.html ,
simple: Divides text at non-letters and converts them to lower case. See http://lucene.apache.org/core/4_10_3/analyzers-common/org/apache/lucene/analysis/core/SimpleAnalyzer.html ,
stop: Divides text at non-letters; Applies the lowercase and stopword token filters. See http://lucene.apache.org/core/4_10_3/analyzers-common/org/apache/lucene/analysis/core/StopAnalyzer.html ,
whitespace: An analyzer that uses the whitespace tokenizer. See http://lucene.apache.org/core/4_10_3/analyzers-common/org/apache/lucene/analysis/core/WhitespaceAnalyzer.html ,
}
,
Required: False ,
}
enum ,
indexAnalyzer:
{
Description: The name of the analyzer used at indexing time for the field. This option can be used only with searchable fields. It must be set together with searchAnalyzer and it cannot be set together with the analyzer option. This property cannot be set to the name of a language analyzer; use the analyzer property instead if you need a language analyzer. Once the analyzer is chosen, it cannot be changed for the field. Must be null for complex fields. ,
Enum:
{
ar.microsoft: Microsoft analyzer for Arabic. ,
ar.lucene: Lucene analyzer for Arabic. ,
hy.lucene: Lucene analyzer for Armenian. ,
bn.microsoft: Microsoft analyzer for Bangla. ,
eu.lucene: Lucene analyzer for Basque. ,
bg.microsoft: Microsoft analyzer for Bulgarian. ,
bg.lucene: Lucene analyzer for Bulgarian. ,
ca.microsoft: Microsoft analyzer for Catalan. ,
ca.lucene: Lucene analyzer for Catalan. ,
zh-Hans.microsoft: Microsoft analyzer for Chinese (Simplified). ,
zh-Hans.lucene: Lucene analyzer for Chinese (Simplified). ,
zh-Hant.microsoft: Microsoft analyzer for Chinese (Traditional). ,
zh-Hant.lucene: Lucene analyzer for Chinese (Traditional). ,
hr.microsoft: Microsoft analyzer for Croatian. ,
cs.microsoft: Microsoft analyzer for Czech. ,
cs.lucene: Lucene analyzer for Czech. ,
da.microsoft: Microsoft analyzer for Danish. ,
da.lucene: Lucene analyzer for Danish. ,
nl.microsoft: Microsoft analyzer for Dutch. ,
nl.lucene: Lucene analyzer for Dutch. ,
en.microsoft: Microsoft analyzer for English. ,
en.lucene: Lucene analyzer for English. ,
et.microsoft: Microsoft analyzer for Estonian. ,
fi.microsoft: Microsoft analyzer for Finnish. ,
fi.lucene: Lucene analyzer for Finnish. ,
fr.microsoft: Microsoft analyzer for French. ,
fr.lucene: Lucene analyzer for French. ,
gl.lucene: Lucene analyzer for Galician. ,
de.microsoft: Microsoft analyzer for German. ,
de.lucene: Lucene analyzer for German. ,
el.microsoft: Microsoft analyzer for Greek. ,
el.lucene: Lucene analyzer for Greek. ,
gu.microsoft: Microsoft analyzer for Gujarati. ,
he.microsoft: Microsoft analyzer for Hebrew. ,
hi.microsoft: Microsoft analyzer for Hindi. ,
hi.lucene: Lucene analyzer for Hindi. ,
hu.microsoft: Microsoft analyzer for Hungarian. ,
hu.lucene: Lucene analyzer for Hungarian. ,
is.microsoft: Microsoft analyzer for Icelandic. ,
id.microsoft: Microsoft analyzer for Indonesian (Bahasa). ,
id.lucene: Lucene analyzer for Indonesian. ,
ga.lucene: Lucene analyzer for Irish. ,
it.microsoft: Microsoft analyzer for Italian. ,
it.lucene: Lucene analyzer for Italian. ,
ja.microsoft: Microsoft analyzer for Japanese. ,
ja.lucene: Lucene analyzer for Japanese. ,
kn.microsoft: Microsoft analyzer for Kannada. ,
ko.microsoft: Microsoft analyzer for Korean. ,
ko.lucene: Lucene analyzer for Korean. ,
lv.microsoft: Microsoft analyzer for Latvian. ,
lv.lucene: Lucene analyzer for Latvian. ,
lt.microsoft: Microsoft analyzer for Lithuanian. ,
ml.microsoft: Microsoft analyzer for Malayalam. ,
ms.microsoft: Microsoft analyzer for Malay (Latin). ,
mr.microsoft: Microsoft analyzer for Marathi. ,
nb.microsoft: Microsoft analyzer for Norwegian (Bokmål). ,
no.lucene: Lucene analyzer for Norwegian. ,
fa.lucene: Lucene analyzer for Persian. ,
pl.microsoft: Microsoft analyzer for Polish. ,
pl.lucene: Lucene analyzer for Polish. ,
pt-BR.microsoft: Microsoft analyzer for Portuguese (Brazil). ,
pt-BR.lucene: Lucene analyzer for Portuguese (Brazil). ,
pt-PT.microsoft: Microsoft analyzer for Portuguese (Portugal). ,
pt-PT.lucene: Lucene analyzer for Portuguese (Portugal). ,
pa.microsoft: Microsoft analyzer for Punjabi. ,
ro.microsoft: Microsoft analyzer for Romanian. ,
ro.lucene: Lucene analyzer for Romanian. ,
ru.microsoft: Microsoft analyzer for Russian. ,
ru.lucene: Lucene analyzer for Russian. ,
sr-cyrillic.microsoft: Microsoft analyzer for Serbian (Cyrillic). ,
sr-latin.microsoft: Microsoft analyzer for Serbian (Latin). ,
sk.microsoft: Microsoft analyzer for Slovak. ,
sl.microsoft: Microsoft analyzer for Slovenian. ,
es.microsoft: Microsoft analyzer for Spanish. ,
es.lucene: Lucene analyzer for Spanish. ,
sv.microsoft: Microsoft analyzer for Swedish. ,
sv.lucene: Lucene analyzer for Swedish. ,
ta.microsoft: Microsoft analyzer for Tamil. ,
te.microsoft: Microsoft analyzer for Telugu. ,
th.microsoft: Microsoft analyzer for Thai. ,
th.lucene: Lucene analyzer for Thai. ,
tr.microsoft: Microsoft analyzer for Turkish. ,
tr.lucene: Lucene analyzer for Turkish. ,
uk.microsoft: Microsoft analyzer for Ukrainian. ,
ur.microsoft: Microsoft analyzer for Urdu. ,
vi.microsoft: Microsoft analyzer for Vietnamese. ,
standard.lucene: Standard Lucene analyzer. ,
standardasciifolding.lucene: Standard ASCII Folding Lucene analyzer. See https://learn.microsoft.com/rest/api/searchservice/Custom-analyzers-in-Azure-Search#Analyzers ,
keyword: Treats the entire content of a field as a single token. This is useful for data like zip codes, ids, and some product names. See http://lucene.apache.org/core/4_10_3/analyzers-common/org/apache/lucene/analysis/core/KeywordAnalyzer.html ,
pattern: Flexibly separates text into terms via a regular expression pattern. See http://lucene.apache.org/core/4_10_3/analyzers-common/org/apache/lucene/analysis/miscellaneous/PatternAnalyzer.html ,
simple: Divides text at non-letters and converts them to lower case. See http://lucene.apache.org/core/4_10_3/analyzers-common/org/apache/lucene/analysis/core/SimpleAnalyzer.html ,
stop: Divides text at non-letters; Applies the lowercase and stopword token filters. See http://lucene.apache.org/core/4_10_3/analyzers-common/org/apache/lucene/analysis/core/StopAnalyzer.html ,
whitespace: An analyzer that uses the whitespace tokenizer. See http://lucene.apache.org/core/4_10_3/analyzers-common/org/apache/lucene/analysis/core/WhitespaceAnalyzer.html ,
}
,
Required: False ,
}
enum ,
normalizer:
{
Description: The name of the normalizer to use for the field. This option can be used only with fields with filterable, sortable, or facetable enabled. Once the normalizer is chosen, it cannot be changed for the field. Must be null for complex fields. ,
Enum:
{
asciifolding: Converts alphabetic, numeric, and symbolic Unicode characters which are not in the first 127 ASCII characters (the "Basic Latin" Unicode block) into their ASCII equivalents, if such equivalents exist. See http://lucene.apache.org/core/4_10_3/analyzers-common/org/apache/lucene/analysis/miscellaneous/ASCIIFoldingFilter.html ,
elision: Removes elisions. For example, "l'avion" (the plane) will be converted to "avion" (plane). See http://lucene.apache.org/core/4_10_3/analyzers-common/org/apache/lucene/analysis/util/ElisionFilter.html ,
lowercase: Normalizes token text to lowercase. See https://lucene.apache.org/core/6_6_1/analyzers-common/org/apache/lucene/analysis/core/LowerCaseFilter.html ,
standard: Standard normalizer, which consists of lowercase and asciifolding. See http://lucene.apache.org/core/4_10_3/analyzers-common/org/apache/lucene/analysis/reverse/ReverseStringFilter.html ,
uppercase: Normalizes token text to uppercase. See https://lucene.apache.org/core/6_6_1/analyzers-common/org/apache/lucene/analysis/core/UpperCaseFilter.html ,
}
,
Required: False ,
}
enum ,
dimensions:
{
Description: The dimensionality of the vector field. ,
Format: int32 ,
Required: False ,
}
integer ,
vectorSearchProfile:
{
Description: The name of the vector search profile that specifies the algorithm and vectorizer to use when searching the vector field. ,
Required: False ,
}
string ,
vectorEncoding:
{
Description: The encoding format to interpret the field contents. ,
Enum:
{
packedBit: Encoding format representing bits packed into a wider data type. ,
}
,
Required: False ,
}
enum ,
synonymMaps:
{
Description: A list of the names of synonym maps to associate with this field. This option can be used only with searchable fields. Currently only one synonym map per field is supported. Assigning a synonym map to a field ensures that query terms targeting that field are expanded at query-time using the rules in the synonym map. This attribute can be changed on existing fields. Must be null or an empty collection for complex fields. ,
Required: False ,
}
[
string ,
]
,
fields:
{
Description: A list of sub-fields if this is a field of type Edm.ComplexType or Collection(Edm.ComplexType). Must be null or empty for simple fields. ,
Required: False ,
}
[
string ,
]
,
}
,
]
,
scoringProfiles:
{
Description: The scoring profiles for the index. ,
Required: False ,
}
[
{
name:
{
Description: The name of the scoring profile. ,
Required: True ,
}
string ,
text:
{
Description: Parameters that boost scoring based on text matches in certain index fields. ,
Required: False ,
}
{
weights:
{
Description: The dictionary of per-field weights to boost document scoring. The keys are field names and the values are the weights for each field. ,
Required: True ,
}
object ,
}
,
functions:
{
Description: The collection of functions that influence the scoring of documents. ,
Required: False ,
}
[
{
type:
{
Description: Indicates the type of function to use. Valid values include magnitude, freshness, distance, and tag. The function type must be lower case. ,
Required: True ,
}
string ,
fieldName:
{
Description: The name of the field used as input to the scoring function. ,
Required: True ,
}
string ,
boost:
{
Description: A multiplier for the raw score. Must be a positive number not equal to 1.0. ,
Format: double ,
Required: True ,
}
number ,
interpolation:
{
Description: A value indicating how boosting will be interpolated across document scores; defaults to "Linear". ,
Enum:
{
linear: Boosts scores by a linearly decreasing amount. This is the default interpolation for scoring functions. ,
constant: Boosts scores by a constant factor. ,
quadratic: Boosts scores by an amount that decreases quadratically. Boosts decrease slowly for higher scores, and more quickly as the scores decrease. This interpolation option is not allowed in tag scoring functions. ,
logarithmic: Boosts scores by an amount that decreases logarithmically. Boosts decrease quickly for higher scores, and more slowly as the scores decrease. This interpolation option is not allowed in tag scoring functions. ,
}
,
Required: False ,
}
enum ,
}
,
]
,
functionAggregation:
{
Description: A value indicating how the results of individual scoring functions should be combined. Defaults to "Sum". Ignored if there are no scoring functions. ,
Enum:
{
sum: Boost scores by the sum of all scoring function results. ,
average: Boost scores by the average of all scoring function results. ,
minimum: Boost scores by the minimum of all scoring function results. ,
maximum: Boost scores by the maximum of all scoring function results. ,
firstMatching: Boost scores using the first applicable scoring function in the scoring profile. ,
}
,
Required: False ,
}
enum ,
}
,
]
,
defaultScoringProfile:
{
Description: The name of the scoring profile to use if none is specified in the query. If this property is not set and no scoring profile is specified in the query, then default scoring (tf-idf) will be used. ,
Required: False ,
}
string ,
corsOptions:
{
Description: Options to control Cross-Origin Resource Sharing (CORS) for the index. ,
Required: False ,
}
{
allowedOrigins:
{
Description: The list of origins from which JavaScript code will be granted access to your index. Can contain a list of hosts of the form {protocol}://{fully-qualified-domain-name}[:{port#}], or a single '*' to allow all origins (not recommended). ,
Required: True ,
}
[
string ,
]
,
maxAgeInSeconds:
{
Description: The duration for which browsers should cache CORS preflight responses. Defaults to 5 minutes. ,
Format: int64 ,
Required: False ,
}
integer ,
}
,
suggesters:
{
Description: The suggesters for the index. ,
Required: False ,
}
[
{
name:
{
Description: The name of the suggester. ,
Required: True ,
}
string ,
searchMode:
{
Description: A value indicating the capabilities of the suggester. ,
Enum:
{
analyzingInfixMatching: Matches consecutive whole terms and prefixes in a field. For example, for the field 'The fastest brown fox', the queries 'fast' and 'fastest brow' would both match. ,
}
,
Required: True ,
}
enum ,
sourceFields:
{
Description: The list of field names to which the suggester applies. Each field must be searchable. ,
Required: True ,
}
[
string ,
]
,
}
,
]
,
analyzers:
{
Description: The analyzers for the index. ,
Required: False ,
}
[
{
@odata.type:
{
Description: A URI fragment specifying the type of analyzer. ,
Required: True ,
}
string ,
name:
{
Description: The name of the analyzer. It must only contain letters, digits, spaces, dashes or underscores, can only start and end with alphanumeric characters, and is limited to 128 characters. ,
Required: True ,
}
string ,
}
,
]
,
tokenizers:
{
Description: The tokenizers for the index. ,
Required: False ,
}
[
{
@odata.type:
{
Description: A URI fragment specifying the type of tokenizer. ,
Required: True ,
}
string ,
name:
{
Description: The name of the tokenizer. It must only contain letters, digits, spaces, dashes or underscores, can only start and end with alphanumeric characters, and is limited to 128 characters. ,
Required: True ,
}
string ,
}
,
]
,
tokenFilters:
{
Description: The token filters for the index. ,
Required: False ,
}
[
{
@odata.type:
{
Description: A URI fragment specifying the type of token filter. ,
Required: True ,
}
string ,
name:
{
Description: The name of the token filter. It must only contain letters, digits, spaces, dashes or underscores, can only start and end with alphanumeric characters, and is limited to 128 characters. ,
Required: True ,
}
string ,
}
,
]
,
charFilters:
{
Description: The character filters for the index. ,
Required: False ,
}
[
{
@odata.type:
{
Description: A URI fragment specifying the type of char filter. ,
Required: True ,
}
string ,
name:
{
Description: The name of the char filter. It must only contain letters, digits, spaces, dashes or underscores, can only start and end with alphanumeric characters, and is limited to 128 characters. ,
Required: True ,
}
string ,
}
,
]
,
normalizers:
{
Description: The normalizers for the index. ,
Required: False ,
}
[
{
@odata.type:
{
Description: A URI fragment specifying the type of normalizer. ,
Required: True ,
}
string ,
name:
{
Description: The name of the normalizer. It must only contain letters, digits, spaces, dashes or underscores, can only start and end with alphanumeric characters, and is limited to 128 characters. It cannot end in '.microsoft' nor '.lucene', nor be named 'asciifolding', 'standard', 'lowercase', 'uppercase', or 'elision'. ,
Required: True ,
}
string ,
}
,
]
,
encryptionKey:
{
Description: A description of an encryption key that you create in Azure Key Vault. This key is used to provide an additional level of encryption-at-rest for your data when you want full assurance that no one, not even Microsoft, can decrypt your data. Once you have encrypted your data, it will always remain encrypted. The search service will ignore attempts to set this property to null. You can change this property as needed if you want to rotate your encryption key; Your data will be unaffected. Encryption with customer-managed keys is not available for free search services, and is only available for paid services created on or after January 1, 2019. ,
Required: False ,
}
{
keyVaultKeyName:
{
Description: The name of your Azure Key Vault key to be used to encrypt your data at rest. ,
Required: True ,
}
string ,
keyVaultKeyVersion:
{
Description: The version of your Azure Key Vault key to be used to encrypt your data at rest. ,
Required: True ,
}
string ,
keyVaultUri:
{
Description: The URI of your Azure Key Vault, also referred to as DNS name, that contains the key to be used to encrypt your data at rest. An example URI might be `https://my-keyvault-name.vault.azure.net`. ,
Required: True ,
}
string ,
accessCredentials:
{
Description: Optional Azure Active Directory credentials used for accessing your Azure Key Vault. Not required if using managed identity instead. ,
Required: False ,
}
{
applicationId:
{
Description: An AAD Application ID that was granted the required access permissions to the Azure Key Vault that is to be used when encrypting your data at rest. The Application ID should not be confused with the Object ID for your AAD Application. ,
Required: True ,
}
string ,
applicationSecret:
{
Description: The authentication key of the specified AAD application. ,
Required: False ,
}
string ,
}
,
}
,
similarity:
{
Description: The type of similarity algorithm to be used when scoring and ranking the documents matching a search query. The similarity algorithm can only be defined at index creation time and cannot be modified on existing indexes. If null, the ClassicSimilarity algorithm is used. ,
Required: False ,
}
{
@odata.type:
{
Required: True ,
}
string ,
}
,
semantic:
{
Description: Defines parameters for a search index that influence semantic capabilities. ,
Required: False ,
}
{
defaultConfiguration:
{
Description: Allows you to set the name of a default semantic configuration in your index, making it optional to pass it on as a query parameter every time. ,
Required: False ,
}
string ,
configurations:
{
Description: The semantic configurations for the index. ,
Required: False ,
}
[
{
name:
{
Description: The name of the semantic configuration. ,
Required: True ,
}
string ,
prioritizedFields:
{
Description: Describes the title, content, and keyword fields to be used for semantic ranking, captions, highlights, and answers. At least one of the three sub properties (titleField, prioritizedKeywordsFields and prioritizedContentFields) need to be set. ,
Required: True ,
}
{
titleField:
{
Description: Defines the title field to be used for semantic ranking, captions, highlights, and answers. If you don't have a title field in your index, leave this blank. ,
Required: False ,
}
{
fieldName:
{
Required: True ,
}
string ,
}
,
prioritizedContentFields:
{
Description: Defines the content fields to be used for semantic ranking, captions, highlights, and answers. For the best result, the selected fields should contain text in natural language form. The order of the fields in the array represents their priority. Fields with lower priority may get truncated if the content is long. ,
Required: False ,
}
[
{
fieldName:
{
Required: True ,
}
string ,
}
,
]
,
prioritizedKeywordsFields:
{
Description: Defines the keyword fields to be used for semantic ranking, captions, highlights, and answers. For the best result, the selected fields should contain a list of keywords. The order of the fields in the array represents their priority. Fields with lower priority may get truncated if the content is long. ,
Required: False ,
}
[
{
fieldName:
{
Required: True ,
}
string ,
}
,
]
,
}
,
rankingOrder:
{
Description: Specifies the score type to be used for the sort order of the search results. ,
Enum:
{
BoostedRerankerScore: Sets sort order as BoostedRerankerScore ,
RerankerScore: Sets sort order as ReRankerScore ,
}
,
Required: False ,
}
enum ,
}
,
]
,
}
,
vectorSearch:
{
Description: Contains configuration options related to vector search. ,
Required: False ,
}
{
profiles:
{
Description: Defines combinations of configurations to use with vector search. ,
Required: False ,
}
[
{
name:
{
Description: The name to associate with this particular vector search profile. ,
Required: True ,
}
string ,
algorithm:
{
Description: The name of the vector search algorithm configuration that specifies the algorithm and optional parameters. ,
Required: True ,
}
string ,
vectorizer:
{
Description: The name of the vectorization being configured for use with vector search. ,
Required: False ,
}
string ,
compression:
{
Description: The name of the compression method configuration that specifies the compression method and optional parameters. ,
Required: False ,
}
string ,
}
,
]
,
algorithms:
{
Description: Contains configuration options specific to the algorithm used during indexing or querying. ,
Required: False ,
}
[
{
name:
{
Description: The name to associate with this particular configuration. ,
Required: True ,
}
string ,
kind:
{
Description: The name of the kind of algorithm being configured for use with vector search. ,
Enum:
{
hnsw: HNSW (Hierarchical Navigable Small World), a type of approximate nearest neighbors algorithm. ,
exhaustiveKnn: Exhaustive KNN algorithm which will perform brute-force search. ,
}
,
Required: True ,
}
enum ,
}
,
]
,
vectorizers:
{
Description: Contains configuration options on how to vectorize text vector queries. ,
Required: False ,
}
[
{
name:
{
Description: The name to associate with this particular vectorization method. ,
Required: True ,
}
string ,
kind:
{
Description: The name of the kind of vectorization method being configured for use with vector search. ,
Enum:
{
azureOpenAI: Generate embeddings using an Azure OpenAI resource at query time. ,
customWebApi: Generate embeddings using a custom web endpoint at query time. ,
}
,
Required: True ,
}
enum ,
}
,
]
,
compressions:
{
Description: Contains configuration options specific to the compression method used during indexing or querying. ,
Required: False ,
}
[
{
name:
{
Description: The name to associate with this particular configuration. ,
Required: True ,
}
string ,
kind:
{
Description: The name of the kind of compression method being configured for use with vector search. ,
Enum:
{
scalarQuantization: Scalar Quantization, a type of compression method. In scalar quantization, the original vectors values are compressed to a narrower type by discretizing and representing each component of a vector using a reduced set of quantized values, thereby reducing the overall data size. ,
binaryQuantization: Binary Quantization, a type of compression method. In binary quantization, the original vectors values are compressed to the narrower binary type by discretizing and representing each component of a vector using binary values, thereby reducing the overall data size. ,
}
,
Required: True ,
}
enum ,
rescoringOptions:
{
Description: Contains the options for rescoring. ,
Required: False ,
}
{
enableRescoring:
{
Description: If set to true, after the initial search on the compressed vectors, the similarity scores are recalculated using the full-precision vectors. This will improve recall at the expense of latency. ,
Required: False ,
}
boolean ,
defaultOversampling:
{
Description: Default oversampling factor. Oversampling retrieves a greater set of potential documents to offset the resolution loss due to quantization. This increases the set of results that will be rescored on full-precision vectors. Minimum value is 1, meaning no oversampling (1x). This parameter can only be set when 'enableRescoring' is true. Higher values improve recall at the expense of latency. ,
Format: double ,
Required: False ,
}
number ,
rescoreStorageMethod:
{
Description: Controls the storage method for original vectors. This setting is immutable. ,
Enum:
{
preserveOriginals: This option preserves the original full-precision vectors. Choose this option for maximum flexibility and highest quality of compressed search results. This consumes more storage but allows for rescoring and oversampling. ,
discardOriginals: This option discards the original full-precision vectors. Choose this option for maximum storage savings. Since this option does not allow for rescoring and oversampling, it will often cause slight to moderate reductions in quality. ,
}
,
Required: False ,
}
enum ,
}
,
truncationDimension:
{
Description: The number of dimensions to truncate the vectors to. Truncating the vectors reduces the size of the vectors and the amount of data that needs to be transferred during search. This can save storage cost and improve search performance at the expense of recall. It should be only used for embeddings trained with Matryoshka Representation Learning (MRL) such as OpenAI text-embedding-3-large (small). The default value is null, which means no truncation. ,
Format: int32 ,
Required: False ,
}
integer ,
}
,
]
,
}
,
@odata.etag:
{
Description: The ETag of the index. ,
Required: False ,
}
string ,
}

⚐ Response (default)

{
error:
{
Description: The error object. ,
Required: False ,
}
{
code:
{
Description: The error code. ,
Required: False ,
}
string ,
message:
{
Description: The error message. ,
Required: False ,
}
string ,
target:
{
Description: The error target. ,
Required: False ,
}
string ,
details:
{
Description: The error details. ,
Required: False ,
}
[
string ,
]
,
additionalInfo:
{
Description: The error additional info. ,
Required: False ,
}
[
{
type:
{
Description: The additional info type. ,
Required: False ,
}
string ,
info:
{
Description: The additional info. ,
Required: False ,
}
object ,
}
,
]
,
}
,
}
Indexes_List (new)
Description :  Lists all indexes available for a search service.
Reference :  Link ¶

⚼ Request

GET:  /indexes
{
$select:
{
Description: Selects which top-level properties of the index definitions to retrieve. Specified as a comma-separated list of JSON property names, or '*' for all properties. The default is all properties. ,
Required: False ,
}
string ,
x-ms-client-request-id:
{
Description: The tracking ID sent with the request to help with debugging. ,
Format: uuid ,
Required: False ,
}
string ,
api-version:
{
Description: Client Api Version. ,
Required: True ,
}
string ,
}

⚐ Response (200)

{
value:
{
Description: The indexes in the Search service. ,
Required: True ,
}
[
{
name:
{
Description: The name of the index. ,
Required: True ,
}
string ,
description:
{
Description: The description of the index. ,
Required: False ,
}
string ,
fields:
{
Description: The fields of the index. ,
Required: True ,
}
[
{
name:
{
Description: The name of the field, which must be unique within the fields collection of the index or parent field. ,
Required: True ,
}
string ,
type:
{
Description: The data type of the field. ,
Enum:
{
Edm.String: Indicates that a field contains a string. ,
Edm.Int32: Indicates that a field contains a 32-bit signed integer. ,
Edm.Int64: Indicates that a field contains a 64-bit signed integer. ,
Edm.Double: Indicates that a field contains an IEEE double-precision floating point number. ,
Edm.Boolean: Indicates that a field contains a Boolean value (true or false). ,
Edm.DateTimeOffset: Indicates that a field contains a date/time value, including timezone information. ,
Edm.GeographyPoint: Indicates that a field contains a geo-location in terms of longitude and latitude. ,
Edm.ComplexType: Indicates that a field contains one or more complex objects that in turn have sub-fields of other types. ,
Edm.Single: Indicates that a field contains a single-precision floating point number. This is only valid when used with Collection(Edm.Single). ,
Edm.Half: Indicates that a field contains a half-precision floating point number. This is only valid when used with Collection(Edm.Half). ,
Edm.Int16: Indicates that a field contains a 16-bit signed integer. This is only valid when used with Collection(Edm.Int16). ,
Edm.SByte: Indicates that a field contains a 8-bit signed integer. This is only valid when used with Collection(Edm.SByte). ,
Edm.Byte: Indicates that a field contains a 8-bit unsigned integer. This is only valid when used with Collection(Edm.Byte). ,
}
,
Required: True ,
}
enum ,
key:
{
Description: A value indicating whether the field uniquely identifies documents in the index. Exactly one top-level field in each index must be chosen as the key field and it must be of type Edm.String. Key fields can be used to look up documents directly and update or delete specific documents. Default is false for simple fields and null for complex fields. ,
Required: False ,
}
boolean ,
retrievable:
{
Description: A value indicating whether the field can be returned in a search result. You can disable this option if you want to use a field (for example, margin) as a filter, sorting, or scoring mechanism but do not want the field to be visible to the end user. This property must be true for key fields, and it must be null for complex fields. This property can be changed on existing fields. Enabling this property does not cause any increase in index storage requirements. Default is true for simple fields, false for vector fields, and null for complex fields. ,
Required: False ,
}
boolean ,
stored:
{
Description: An immutable value indicating whether the field will be persisted separately on disk to be returned in a search result. You can disable this option if you don't plan to return the field contents in a search response to save on storage overhead. This can only be set during index creation and only for vector fields. This property cannot be changed for existing fields or set as false for new fields. If this property is set as false, the property 'retrievable' must also be set to false. This property must be true or unset for key fields, for new fields, and for non-vector fields, and it must be null for complex fields. Disabling this property will reduce index storage requirements. The default is true for vector fields. ,
Required: False ,
}
boolean ,
searchable:
{
Description: A value indicating whether the field is full-text searchable. This means it will undergo analysis such as word-breaking during indexing. If you set a searchable field to a value like "sunny day", internally it will be split into the individual tokens "sunny" and "day". This enables full-text searches for these terms. Fields of type Edm.String or Collection(Edm.String) are searchable by default. This property must be false for simple fields of other non-string data types, and it must be null for complex fields. Note: searchable fields consume extra space in your index to accommodate additional tokenized versions of the field value for full-text searches. If you want to save space in your index and you don't need a field to be included in searches, set searchable to false. ,
Required: False ,
}
boolean ,
filterable:
{
Description: A value indicating whether to enable the field to be referenced in $filter queries. filterable differs from searchable in how strings are handled. Fields of type Edm.String or Collection(Edm.String) that are filterable do not undergo word-breaking, so comparisons are for exact matches only. For example, if you set such a field f to "sunny day", $filter=f eq 'sunny' will find no matches, but $filter=f eq 'sunny day' will. This property must be null for complex fields. Default is true for simple fields and null for complex fields. ,
Required: False ,
}
boolean ,
sortable:
{
Description: A value indicating whether to enable the field to be referenced in $orderby expressions. By default, the search engine sorts results by score, but in many experiences users will want to sort by fields in the documents. A simple field can be sortable only if it is single-valued (it has a single value in the scope of the parent document). Simple collection fields cannot be sortable, since they are multi-valued. Simple sub-fields of complex collections are also multi-valued, and therefore cannot be sortable. This is true whether it's an immediate parent field, or an ancestor field, that's the complex collection. Complex fields cannot be sortable and the sortable property must be null for such fields. The default for sortable is true for single-valued simple fields, false for multi-valued simple fields, and null for complex fields. ,
Required: False ,
}
boolean ,
facetable:
{
Description: A value indicating whether to enable the field to be referenced in facet queries. Typically used in a presentation of search results that includes hit count by category (for example, search for digital cameras and see hits by brand, by megapixels, by price, and so on). This property must be null for complex fields. Fields of type Edm.GeographyPoint or Collection(Edm.GeographyPoint) cannot be facetable. Default is true for all other simple fields. ,
Required: False ,
}
boolean ,
analyzer:
{
Description: The name of the analyzer to use for the field. This option can be used only with searchable fields and it can't be set together with either searchAnalyzer or indexAnalyzer. Once the analyzer is chosen, it cannot be changed for the field. Must be null for complex fields. ,
Enum:
{
ar.microsoft: Microsoft analyzer for Arabic. ,
ar.lucene: Lucene analyzer for Arabic. ,
hy.lucene: Lucene analyzer for Armenian. ,
bn.microsoft: Microsoft analyzer for Bangla. ,
eu.lucene: Lucene analyzer for Basque. ,
bg.microsoft: Microsoft analyzer for Bulgarian. ,
bg.lucene: Lucene analyzer for Bulgarian. ,
ca.microsoft: Microsoft analyzer for Catalan. ,
ca.lucene: Lucene analyzer for Catalan. ,
zh-Hans.microsoft: Microsoft analyzer for Chinese (Simplified). ,
zh-Hans.lucene: Lucene analyzer for Chinese (Simplified). ,
zh-Hant.microsoft: Microsoft analyzer for Chinese (Traditional). ,
zh-Hant.lucene: Lucene analyzer for Chinese (Traditional). ,
hr.microsoft: Microsoft analyzer for Croatian. ,
cs.microsoft: Microsoft analyzer for Czech. ,
cs.lucene: Lucene analyzer for Czech. ,
da.microsoft: Microsoft analyzer for Danish. ,
da.lucene: Lucene analyzer for Danish. ,
nl.microsoft: Microsoft analyzer for Dutch. ,
nl.lucene: Lucene analyzer for Dutch. ,
en.microsoft: Microsoft analyzer for English. ,
en.lucene: Lucene analyzer for English. ,
et.microsoft: Microsoft analyzer for Estonian. ,
fi.microsoft: Microsoft analyzer for Finnish. ,
fi.lucene: Lucene analyzer for Finnish. ,
fr.microsoft: Microsoft analyzer for French. ,
fr.lucene: Lucene analyzer for French. ,
gl.lucene: Lucene analyzer for Galician. ,
de.microsoft: Microsoft analyzer for German. ,
de.lucene: Lucene analyzer for German. ,
el.microsoft: Microsoft analyzer for Greek. ,
el.lucene: Lucene analyzer for Greek. ,
gu.microsoft: Microsoft analyzer for Gujarati. ,
he.microsoft: Microsoft analyzer for Hebrew. ,
hi.microsoft: Microsoft analyzer for Hindi. ,
hi.lucene: Lucene analyzer for Hindi. ,
hu.microsoft: Microsoft analyzer for Hungarian. ,
hu.lucene: Lucene analyzer for Hungarian. ,
is.microsoft: Microsoft analyzer for Icelandic. ,
id.microsoft: Microsoft analyzer for Indonesian (Bahasa). ,
id.lucene: Lucene analyzer for Indonesian. ,
ga.lucene: Lucene analyzer for Irish. ,
it.microsoft: Microsoft analyzer for Italian. ,
it.lucene: Lucene analyzer for Italian. ,
ja.microsoft: Microsoft analyzer for Japanese. ,
ja.lucene: Lucene analyzer for Japanese. ,
kn.microsoft: Microsoft analyzer for Kannada. ,
ko.microsoft: Microsoft analyzer for Korean. ,
ko.lucene: Lucene analyzer for Korean. ,
lv.microsoft: Microsoft analyzer for Latvian. ,
lv.lucene: Lucene analyzer for Latvian. ,
lt.microsoft: Microsoft analyzer for Lithuanian. ,
ml.microsoft: Microsoft analyzer for Malayalam. ,
ms.microsoft: Microsoft analyzer for Malay (Latin). ,
mr.microsoft: Microsoft analyzer for Marathi. ,
nb.microsoft: Microsoft analyzer for Norwegian (Bokmål). ,
no.lucene: Lucene analyzer for Norwegian. ,
fa.lucene: Lucene analyzer for Persian. ,
pl.microsoft: Microsoft analyzer for Polish. ,
pl.lucene: Lucene analyzer for Polish. ,
pt-BR.microsoft: Microsoft analyzer for Portuguese (Brazil). ,
pt-BR.lucene: Lucene analyzer for Portuguese (Brazil). ,
pt-PT.microsoft: Microsoft analyzer for Portuguese (Portugal). ,
pt-PT.lucene: Lucene analyzer for Portuguese (Portugal). ,
pa.microsoft: Microsoft analyzer for Punjabi. ,
ro.microsoft: Microsoft analyzer for Romanian. ,
ro.lucene: Lucene analyzer for Romanian. ,
ru.microsoft: Microsoft analyzer for Russian. ,
ru.lucene: Lucene analyzer for Russian. ,
sr-cyrillic.microsoft: Microsoft analyzer for Serbian (Cyrillic). ,
sr-latin.microsoft: Microsoft analyzer for Serbian (Latin). ,
sk.microsoft: Microsoft analyzer for Slovak. ,
sl.microsoft: Microsoft analyzer for Slovenian. ,
es.microsoft: Microsoft analyzer for Spanish. ,
es.lucene: Lucene analyzer for Spanish. ,
sv.microsoft: Microsoft analyzer for Swedish. ,
sv.lucene: Lucene analyzer for Swedish. ,
ta.microsoft: Microsoft analyzer for Tamil. ,
te.microsoft: Microsoft analyzer for Telugu. ,
th.microsoft: Microsoft analyzer for Thai. ,
th.lucene: Lucene analyzer for Thai. ,
tr.microsoft: Microsoft analyzer for Turkish. ,
tr.lucene: Lucene analyzer for Turkish. ,
uk.microsoft: Microsoft analyzer for Ukrainian. ,
ur.microsoft: Microsoft analyzer for Urdu. ,
vi.microsoft: Microsoft analyzer for Vietnamese. ,
standard.lucene: Standard Lucene analyzer. ,
standardasciifolding.lucene: Standard ASCII Folding Lucene analyzer. See https://learn.microsoft.com/rest/api/searchservice/Custom-analyzers-in-Azure-Search#Analyzers ,
keyword: Treats the entire content of a field as a single token. This is useful for data like zip codes, ids, and some product names. See http://lucene.apache.org/core/4_10_3/analyzers-common/org/apache/lucene/analysis/core/KeywordAnalyzer.html ,
pattern: Flexibly separates text into terms via a regular expression pattern. See http://lucene.apache.org/core/4_10_3/analyzers-common/org/apache/lucene/analysis/miscellaneous/PatternAnalyzer.html ,
simple: Divides text at non-letters and converts them to lower case. See http://lucene.apache.org/core/4_10_3/analyzers-common/org/apache/lucene/analysis/core/SimpleAnalyzer.html ,
stop: Divides text at non-letters; Applies the lowercase and stopword token filters. See http://lucene.apache.org/core/4_10_3/analyzers-common/org/apache/lucene/analysis/core/StopAnalyzer.html ,
whitespace: An analyzer that uses the whitespace tokenizer. See http://lucene.apache.org/core/4_10_3/analyzers-common/org/apache/lucene/analysis/core/WhitespaceAnalyzer.html ,
}
,
Required: False ,
}
enum ,
searchAnalyzer:
{
Description: The name of the analyzer used at search time for the field. This option can be used only with searchable fields. It must be set together with indexAnalyzer and it cannot be set together with the analyzer option. This property cannot be set to the name of a language analyzer; use the analyzer property instead if you need a language analyzer. This analyzer can be updated on an existing field. Must be null for complex fields. ,
Enum:
{
ar.microsoft: Microsoft analyzer for Arabic. ,
ar.lucene: Lucene analyzer for Arabic. ,
hy.lucene: Lucene analyzer for Armenian. ,
bn.microsoft: Microsoft analyzer for Bangla. ,
eu.lucene: Lucene analyzer for Basque. ,
bg.microsoft: Microsoft analyzer for Bulgarian. ,
bg.lucene: Lucene analyzer for Bulgarian. ,
ca.microsoft: Microsoft analyzer for Catalan. ,
ca.lucene: Lucene analyzer for Catalan. ,
zh-Hans.microsoft: Microsoft analyzer for Chinese (Simplified). ,
zh-Hans.lucene: Lucene analyzer for Chinese (Simplified). ,
zh-Hant.microsoft: Microsoft analyzer for Chinese (Traditional). ,
zh-Hant.lucene: Lucene analyzer for Chinese (Traditional). ,
hr.microsoft: Microsoft analyzer for Croatian. ,
cs.microsoft: Microsoft analyzer for Czech. ,
cs.lucene: Lucene analyzer for Czech. ,
da.microsoft: Microsoft analyzer for Danish. ,
da.lucene: Lucene analyzer for Danish. ,
nl.microsoft: Microsoft analyzer for Dutch. ,
nl.lucene: Lucene analyzer for Dutch. ,
en.microsoft: Microsoft analyzer for English. ,
en.lucene: Lucene analyzer for English. ,
et.microsoft: Microsoft analyzer for Estonian. ,
fi.microsoft: Microsoft analyzer for Finnish. ,
fi.lucene: Lucene analyzer for Finnish. ,
fr.microsoft: Microsoft analyzer for French. ,
fr.lucene: Lucene analyzer for French. ,
gl.lucene: Lucene analyzer for Galician. ,
de.microsoft: Microsoft analyzer for German. ,
de.lucene: Lucene analyzer for German. ,
el.microsoft: Microsoft analyzer for Greek. ,
el.lucene: Lucene analyzer for Greek. ,
gu.microsoft: Microsoft analyzer for Gujarati. ,
he.microsoft: Microsoft analyzer for Hebrew. ,
hi.microsoft: Microsoft analyzer for Hindi. ,
hi.lucene: Lucene analyzer for Hindi. ,
hu.microsoft: Microsoft analyzer for Hungarian. ,
hu.lucene: Lucene analyzer for Hungarian. ,
is.microsoft: Microsoft analyzer for Icelandic. ,
id.microsoft: Microsoft analyzer for Indonesian (Bahasa). ,
id.lucene: Lucene analyzer for Indonesian. ,
ga.lucene: Lucene analyzer for Irish. ,
it.microsoft: Microsoft analyzer for Italian. ,
it.lucene: Lucene analyzer for Italian. ,
ja.microsoft: Microsoft analyzer for Japanese. ,
ja.lucene: Lucene analyzer for Japanese. ,
kn.microsoft: Microsoft analyzer for Kannada. ,
ko.microsoft: Microsoft analyzer for Korean. ,
ko.lucene: Lucene analyzer for Korean. ,
lv.microsoft: Microsoft analyzer for Latvian. ,
lv.lucene: Lucene analyzer for Latvian. ,
lt.microsoft: Microsoft analyzer for Lithuanian. ,
ml.microsoft: Microsoft analyzer for Malayalam. ,
ms.microsoft: Microsoft analyzer for Malay (Latin). ,
mr.microsoft: Microsoft analyzer for Marathi. ,
nb.microsoft: Microsoft analyzer for Norwegian (Bokmål). ,
no.lucene: Lucene analyzer for Norwegian. ,
fa.lucene: Lucene analyzer for Persian. ,
pl.microsoft: Microsoft analyzer for Polish. ,
pl.lucene: Lucene analyzer for Polish. ,
pt-BR.microsoft: Microsoft analyzer for Portuguese (Brazil). ,
pt-BR.lucene: Lucene analyzer for Portuguese (Brazil). ,
pt-PT.microsoft: Microsoft analyzer for Portuguese (Portugal). ,
pt-PT.lucene: Lucene analyzer for Portuguese (Portugal). ,
pa.microsoft: Microsoft analyzer for Punjabi. ,
ro.microsoft: Microsoft analyzer for Romanian. ,
ro.lucene: Lucene analyzer for Romanian. ,
ru.microsoft: Microsoft analyzer for Russian. ,
ru.lucene: Lucene analyzer for Russian. ,
sr-cyrillic.microsoft: Microsoft analyzer for Serbian (Cyrillic). ,
sr-latin.microsoft: Microsoft analyzer for Serbian (Latin). ,
sk.microsoft: Microsoft analyzer for Slovak. ,
sl.microsoft: Microsoft analyzer for Slovenian. ,
es.microsoft: Microsoft analyzer for Spanish. ,
es.lucene: Lucene analyzer for Spanish. ,
sv.microsoft: Microsoft analyzer for Swedish. ,
sv.lucene: Lucene analyzer for Swedish. ,
ta.microsoft: Microsoft analyzer for Tamil. ,
te.microsoft: Microsoft analyzer for Telugu. ,
th.microsoft: Microsoft analyzer for Thai. ,
th.lucene: Lucene analyzer for Thai. ,
tr.microsoft: Microsoft analyzer for Turkish. ,
tr.lucene: Lucene analyzer for Turkish. ,
uk.microsoft: Microsoft analyzer for Ukrainian. ,
ur.microsoft: Microsoft analyzer for Urdu. ,
vi.microsoft: Microsoft analyzer for Vietnamese. ,
standard.lucene: Standard Lucene analyzer. ,
standardasciifolding.lucene: Standard ASCII Folding Lucene analyzer. See https://learn.microsoft.com/rest/api/searchservice/Custom-analyzers-in-Azure-Search#Analyzers ,
keyword: Treats the entire content of a field as a single token. This is useful for data like zip codes, ids, and some product names. See http://lucene.apache.org/core/4_10_3/analyzers-common/org/apache/lucene/analysis/core/KeywordAnalyzer.html ,
pattern: Flexibly separates text into terms via a regular expression pattern. See http://lucene.apache.org/core/4_10_3/analyzers-common/org/apache/lucene/analysis/miscellaneous/PatternAnalyzer.html ,
simple: Divides text at non-letters and converts them to lower case. See http://lucene.apache.org/core/4_10_3/analyzers-common/org/apache/lucene/analysis/core/SimpleAnalyzer.html ,
stop: Divides text at non-letters; Applies the lowercase and stopword token filters. See http://lucene.apache.org/core/4_10_3/analyzers-common/org/apache/lucene/analysis/core/StopAnalyzer.html ,
whitespace: An analyzer that uses the whitespace tokenizer. See http://lucene.apache.org/core/4_10_3/analyzers-common/org/apache/lucene/analysis/core/WhitespaceAnalyzer.html ,
}
,
Required: False ,
}
enum ,
indexAnalyzer:
{
Description: The name of the analyzer used at indexing time for the field. This option can be used only with searchable fields. It must be set together with searchAnalyzer and it cannot be set together with the analyzer option. This property cannot be set to the name of a language analyzer; use the analyzer property instead if you need a language analyzer. Once the analyzer is chosen, it cannot be changed for the field. Must be null for complex fields. ,
Enum:
{
ar.microsoft: Microsoft analyzer for Arabic. ,
ar.lucene: Lucene analyzer for Arabic. ,
hy.lucene: Lucene analyzer for Armenian. ,
bn.microsoft: Microsoft analyzer for Bangla. ,
eu.lucene: Lucene analyzer for Basque. ,
bg.microsoft: Microsoft analyzer for Bulgarian. ,
bg.lucene: Lucene analyzer for Bulgarian. ,
ca.microsoft: Microsoft analyzer for Catalan. ,
ca.lucene: Lucene analyzer for Catalan. ,
zh-Hans.microsoft: Microsoft analyzer for Chinese (Simplified). ,
zh-Hans.lucene: Lucene analyzer for Chinese (Simplified). ,
zh-Hant.microsoft: Microsoft analyzer for Chinese (Traditional). ,
zh-Hant.lucene: Lucene analyzer for Chinese (Traditional). ,
hr.microsoft: Microsoft analyzer for Croatian. ,
cs.microsoft: Microsoft analyzer for Czech. ,
cs.lucene: Lucene analyzer for Czech. ,
da.microsoft: Microsoft analyzer for Danish. ,
da.lucene: Lucene analyzer for Danish. ,
nl.microsoft: Microsoft analyzer for Dutch. ,
nl.lucene: Lucene analyzer for Dutch. ,
en.microsoft: Microsoft analyzer for English. ,
en.lucene: Lucene analyzer for English. ,
et.microsoft: Microsoft analyzer for Estonian. ,
fi.microsoft: Microsoft analyzer for Finnish. ,
fi.lucene: Lucene analyzer for Finnish. ,
fr.microsoft: Microsoft analyzer for French. ,
fr.lucene: Lucene analyzer for French. ,
gl.lucene: Lucene analyzer for Galician. ,
de.microsoft: Microsoft analyzer for German. ,
de.lucene: Lucene analyzer for German. ,
el.microsoft: Microsoft analyzer for Greek. ,
el.lucene: Lucene analyzer for Greek. ,
gu.microsoft: Microsoft analyzer for Gujarati. ,
he.microsoft: Microsoft analyzer for Hebrew. ,
hi.microsoft: Microsoft analyzer for Hindi. ,
hi.lucene: Lucene analyzer for Hindi. ,
hu.microsoft: Microsoft analyzer for Hungarian. ,
hu.lucene: Lucene analyzer for Hungarian. ,
is.microsoft: Microsoft analyzer for Icelandic. ,
id.microsoft: Microsoft analyzer for Indonesian (Bahasa). ,
id.lucene: Lucene analyzer for Indonesian. ,
ga.lucene: Lucene analyzer for Irish. ,
it.microsoft: Microsoft analyzer for Italian. ,
it.lucene: Lucene analyzer for Italian. ,
ja.microsoft: Microsoft analyzer for Japanese. ,
ja.lucene: Lucene analyzer for Japanese. ,
kn.microsoft: Microsoft analyzer for Kannada. ,
ko.microsoft: Microsoft analyzer for Korean. ,
ko.lucene: Lucene analyzer for Korean. ,
lv.microsoft: Microsoft analyzer for Latvian. ,
lv.lucene: Lucene analyzer for Latvian. ,
lt.microsoft: Microsoft analyzer for Lithuanian. ,
ml.microsoft: Microsoft analyzer for Malayalam. ,
ms.microsoft: Microsoft analyzer for Malay (Latin). ,
mr.microsoft: Microsoft analyzer for Marathi. ,
nb.microsoft: Microsoft analyzer for Norwegian (Bokmål). ,
no.lucene: Lucene analyzer for Norwegian. ,
fa.lucene: Lucene analyzer for Persian. ,
pl.microsoft: Microsoft analyzer for Polish. ,
pl.lucene: Lucene analyzer for Polish. ,
pt-BR.microsoft: Microsoft analyzer for Portuguese (Brazil). ,
pt-BR.lucene: Lucene analyzer for Portuguese (Brazil). ,
pt-PT.microsoft: Microsoft analyzer for Portuguese (Portugal). ,
pt-PT.lucene: Lucene analyzer for Portuguese (Portugal). ,
pa.microsoft: Microsoft analyzer for Punjabi. ,
ro.microsoft: Microsoft analyzer for Romanian. ,
ro.lucene: Lucene analyzer for Romanian. ,
ru.microsoft: Microsoft analyzer for Russian. ,
ru.lucene: Lucene analyzer for Russian. ,
sr-cyrillic.microsoft: Microsoft analyzer for Serbian (Cyrillic). ,
sr-latin.microsoft: Microsoft analyzer for Serbian (Latin). ,
sk.microsoft: Microsoft analyzer for Slovak. ,
sl.microsoft: Microsoft analyzer for Slovenian. ,
es.microsoft: Microsoft analyzer for Spanish. ,
es.lucene: Lucene analyzer for Spanish. ,
sv.microsoft: Microsoft analyzer for Swedish. ,
sv.lucene: Lucene analyzer for Swedish. ,
ta.microsoft: Microsoft analyzer for Tamil. ,
te.microsoft: Microsoft analyzer for Telugu. ,
th.microsoft: Microsoft analyzer for Thai. ,
th.lucene: Lucene analyzer for Thai. ,
tr.microsoft: Microsoft analyzer for Turkish. ,
tr.lucene: Lucene analyzer for Turkish. ,
uk.microsoft: Microsoft analyzer for Ukrainian. ,
ur.microsoft: Microsoft analyzer for Urdu. ,
vi.microsoft: Microsoft analyzer for Vietnamese. ,
standard.lucene: Standard Lucene analyzer. ,
standardasciifolding.lucene: Standard ASCII Folding Lucene analyzer. See https://learn.microsoft.com/rest/api/searchservice/Custom-analyzers-in-Azure-Search#Analyzers ,
keyword: Treats the entire content of a field as a single token. This is useful for data like zip codes, ids, and some product names. See http://lucene.apache.org/core/4_10_3/analyzers-common/org/apache/lucene/analysis/core/KeywordAnalyzer.html ,
pattern: Flexibly separates text into terms via a regular expression pattern. See http://lucene.apache.org/core/4_10_3/analyzers-common/org/apache/lucene/analysis/miscellaneous/PatternAnalyzer.html ,
simple: Divides text at non-letters and converts them to lower case. See http://lucene.apache.org/core/4_10_3/analyzers-common/org/apache/lucene/analysis/core/SimpleAnalyzer.html ,
stop: Divides text at non-letters; Applies the lowercase and stopword token filters. See http://lucene.apache.org/core/4_10_3/analyzers-common/org/apache/lucene/analysis/core/StopAnalyzer.html ,
whitespace: An analyzer that uses the whitespace tokenizer. See http://lucene.apache.org/core/4_10_3/analyzers-common/org/apache/lucene/analysis/core/WhitespaceAnalyzer.html ,
}
,
Required: False ,
}
enum ,
normalizer:
{
Description: The name of the normalizer to use for the field. This option can be used only with fields with filterable, sortable, or facetable enabled. Once the normalizer is chosen, it cannot be changed for the field. Must be null for complex fields. ,
Enum:
{
asciifolding: Converts alphabetic, numeric, and symbolic Unicode characters which are not in the first 127 ASCII characters (the "Basic Latin" Unicode block) into their ASCII equivalents, if such equivalents exist. See http://lucene.apache.org/core/4_10_3/analyzers-common/org/apache/lucene/analysis/miscellaneous/ASCIIFoldingFilter.html ,
elision: Removes elisions. For example, "l'avion" (the plane) will be converted to "avion" (plane). See http://lucene.apache.org/core/4_10_3/analyzers-common/org/apache/lucene/analysis/util/ElisionFilter.html ,
lowercase: Normalizes token text to lowercase. See https://lucene.apache.org/core/6_6_1/analyzers-common/org/apache/lucene/analysis/core/LowerCaseFilter.html ,
standard: Standard normalizer, which consists of lowercase and asciifolding. See http://lucene.apache.org/core/4_10_3/analyzers-common/org/apache/lucene/analysis/reverse/ReverseStringFilter.html ,
uppercase: Normalizes token text to uppercase. See https://lucene.apache.org/core/6_6_1/analyzers-common/org/apache/lucene/analysis/core/UpperCaseFilter.html ,
}
,
Required: False ,
}
enum ,
dimensions:
{
Description: The dimensionality of the vector field. ,
Format: int32 ,
Required: False ,
}
integer ,
vectorSearchProfile:
{
Description: The name of the vector search profile that specifies the algorithm and vectorizer to use when searching the vector field. ,
Required: False ,
}
string ,
vectorEncoding:
{
Description: The encoding format to interpret the field contents. ,
Enum:
{
packedBit: Encoding format representing bits packed into a wider data type. ,
}
,
Required: False ,
}
enum ,
synonymMaps:
{
Description: A list of the names of synonym maps to associate with this field. This option can be used only with searchable fields. Currently only one synonym map per field is supported. Assigning a synonym map to a field ensures that query terms targeting that field are expanded at query-time using the rules in the synonym map. This attribute can be changed on existing fields. Must be null or an empty collection for complex fields. ,
Required: False ,
}
[
string ,
]
,
fields:
{
Description: A list of sub-fields if this is a field of type Edm.ComplexType or Collection(Edm.ComplexType). Must be null or empty for simple fields. ,
Required: False ,
}
[
string ,
]
,
}
,
]
,
scoringProfiles:
{
Description: The scoring profiles for the index. ,
Required: False ,
}
[
{
name:
{
Description: The name of the scoring profile. ,
Required: True ,
}
string ,
text:
{
Description: Parameters that boost scoring based on text matches in certain index fields. ,
Required: False ,
}
{
weights:
{
Description: The dictionary of per-field weights to boost document scoring. The keys are field names and the values are the weights for each field. ,
Required: True ,
}
object ,
}
,
functions:
{
Description: The collection of functions that influence the scoring of documents. ,
Required: False ,
}
[
{
type:
{
Description: Indicates the type of function to use. Valid values include magnitude, freshness, distance, and tag. The function type must be lower case. ,
Required: True ,
}
string ,
fieldName:
{
Description: The name of the field used as input to the scoring function. ,
Required: True ,
}
string ,
boost:
{
Description: A multiplier for the raw score. Must be a positive number not equal to 1.0. ,
Format: double ,
Required: True ,
}
number ,
interpolation:
{
Description: A value indicating how boosting will be interpolated across document scores; defaults to "Linear". ,
Enum:
{
linear: Boosts scores by a linearly decreasing amount. This is the default interpolation for scoring functions. ,
constant: Boosts scores by a constant factor. ,
quadratic: Boosts scores by an amount that decreases quadratically. Boosts decrease slowly for higher scores, and more quickly as the scores decrease. This interpolation option is not allowed in tag scoring functions. ,
logarithmic: Boosts scores by an amount that decreases logarithmically. Boosts decrease quickly for higher scores, and more slowly as the scores decrease. This interpolation option is not allowed in tag scoring functions. ,
}
,
Required: False ,
}
enum ,
}
,
]
,
functionAggregation:
{
Description: A value indicating how the results of individual scoring functions should be combined. Defaults to "Sum". Ignored if there are no scoring functions. ,
Enum:
{
sum: Boost scores by the sum of all scoring function results. ,
average: Boost scores by the average of all scoring function results. ,
minimum: Boost scores by the minimum of all scoring function results. ,
maximum: Boost scores by the maximum of all scoring function results. ,
firstMatching: Boost scores using the first applicable scoring function in the scoring profile. ,
}
,
Required: False ,
}
enum ,
}
,
]
,
defaultScoringProfile:
{
Description: The name of the scoring profile to use if none is specified in the query. If this property is not set and no scoring profile is specified in the query, then default scoring (tf-idf) will be used. ,
Required: False ,
}
string ,
corsOptions:
{
Description: Options to control Cross-Origin Resource Sharing (CORS) for the index. ,
Required: False ,
}
{
allowedOrigins:
{
Description: The list of origins from which JavaScript code will be granted access to your index. Can contain a list of hosts of the form {protocol}://{fully-qualified-domain-name}[:{port#}], or a single '*' to allow all origins (not recommended). ,
Required: True ,
}
[
string ,
]
,
maxAgeInSeconds:
{
Description: The duration for which browsers should cache CORS preflight responses. Defaults to 5 minutes. ,
Format: int64 ,
Required: False ,
}
integer ,
}
,
suggesters:
{
Description: The suggesters for the index. ,
Required: False ,
}
[
{
name:
{
Description: The name of the suggester. ,
Required: True ,
}
string ,
searchMode:
{
Description: A value indicating the capabilities of the suggester. ,
Enum:
{
analyzingInfixMatching: Matches consecutive whole terms and prefixes in a field. For example, for the field 'The fastest brown fox', the queries 'fast' and 'fastest brow' would both match. ,
}
,
Required: True ,
}
enum ,
sourceFields:
{
Description: The list of field names to which the suggester applies. Each field must be searchable. ,
Required: True ,
}
[
string ,
]
,
}
,
]
,
analyzers:
{
Description: The analyzers for the index. ,
Required: False ,
}
[
{
@odata.type:
{
Description: A URI fragment specifying the type of analyzer. ,
Required: True ,
}
string ,
name:
{
Description: The name of the analyzer. It must only contain letters, digits, spaces, dashes or underscores, can only start and end with alphanumeric characters, and is limited to 128 characters. ,
Required: True ,
}
string ,
}
,
]
,
tokenizers:
{
Description: The tokenizers for the index. ,
Required: False ,
}
[
{
@odata.type:
{
Description: A URI fragment specifying the type of tokenizer. ,
Required: True ,
}
string ,
name:
{
Description: The name of the tokenizer. It must only contain letters, digits, spaces, dashes or underscores, can only start and end with alphanumeric characters, and is limited to 128 characters. ,
Required: True ,
}
string ,
}
,
]
,
tokenFilters:
{
Description: The token filters for the index. ,
Required: False ,
}
[
{
@odata.type:
{
Description: A URI fragment specifying the type of token filter. ,
Required: True ,
}
string ,
name:
{
Description: The name of the token filter. It must only contain letters, digits, spaces, dashes or underscores, can only start and end with alphanumeric characters, and is limited to 128 characters. ,
Required: True ,
}
string ,
}
,
]
,
charFilters:
{
Description: The character filters for the index. ,
Required: False ,
}
[
{
@odata.type:
{
Description: A URI fragment specifying the type of char filter. ,
Required: True ,
}
string ,
name:
{
Description: The name of the char filter. It must only contain letters, digits, spaces, dashes or underscores, can only start and end with alphanumeric characters, and is limited to 128 characters. ,
Required: True ,
}
string ,
}
,
]
,
normalizers:
{
Description: The normalizers for the index. ,
Required: False ,
}
[
{
@odata.type:
{
Description: A URI fragment specifying the type of normalizer. ,
Required: True ,
}
string ,
name:
{
Description: The name of the normalizer. It must only contain letters, digits, spaces, dashes or underscores, can only start and end with alphanumeric characters, and is limited to 128 characters. It cannot end in '.microsoft' nor '.lucene', nor be named 'asciifolding', 'standard', 'lowercase', 'uppercase', or 'elision'. ,
Required: True ,
}
string ,
}
,
]
,
encryptionKey:
{
Description: A description of an encryption key that you create in Azure Key Vault. This key is used to provide an additional level of encryption-at-rest for your data when you want full assurance that no one, not even Microsoft, can decrypt your data. Once you have encrypted your data, it will always remain encrypted. The search service will ignore attempts to set this property to null. You can change this property as needed if you want to rotate your encryption key; Your data will be unaffected. Encryption with customer-managed keys is not available for free search services, and is only available for paid services created on or after January 1, 2019. ,
Required: False ,
}
{
keyVaultKeyName:
{
Description: The name of your Azure Key Vault key to be used to encrypt your data at rest. ,
Required: True ,
}
string ,
keyVaultKeyVersion:
{
Description: The version of your Azure Key Vault key to be used to encrypt your data at rest. ,
Required: True ,
}
string ,
keyVaultUri:
{
Description: The URI of your Azure Key Vault, also referred to as DNS name, that contains the key to be used to encrypt your data at rest. An example URI might be `https://my-keyvault-name.vault.azure.net`. ,
Required: True ,
}
string ,
accessCredentials:
{
Description: Optional Azure Active Directory credentials used for accessing your Azure Key Vault. Not required if using managed identity instead. ,
Required: False ,
}
{
applicationId:
{
Description: An AAD Application ID that was granted the required access permissions to the Azure Key Vault that is to be used when encrypting your data at rest. The Application ID should not be confused with the Object ID for your AAD Application. ,
Required: True ,
}
string ,
applicationSecret:
{
Description: The authentication key of the specified AAD application. ,
Required: False ,
}
string ,
}
,
}
,
similarity:
{
Description: The type of similarity algorithm to be used when scoring and ranking the documents matching a search query. The similarity algorithm can only be defined at index creation time and cannot be modified on existing indexes. If null, the ClassicSimilarity algorithm is used. ,
Required: False ,
}
{
@odata.type:
{
Required: True ,
}
string ,
}
,
semantic:
{
Description: Defines parameters for a search index that influence semantic capabilities. ,
Required: False ,
}
{
defaultConfiguration:
{
Description: Allows you to set the name of a default semantic configuration in your index, making it optional to pass it on as a query parameter every time. ,
Required: False ,
}
string ,
configurations:
{
Description: The semantic configurations for the index. ,
Required: False ,
}
[
{
name:
{
Description: The name of the semantic configuration. ,
Required: True ,
}
string ,
prioritizedFields:
{
Description: Describes the title, content, and keyword fields to be used for semantic ranking, captions, highlights, and answers. At least one of the three sub properties (titleField, prioritizedKeywordsFields and prioritizedContentFields) need to be set. ,
Required: True ,
}
{
titleField:
{
Description: Defines the title field to be used for semantic ranking, captions, highlights, and answers. If you don't have a title field in your index, leave this blank. ,
Required: False ,
}
{
fieldName:
{
Required: True ,
}
string ,
}
,
prioritizedContentFields:
{
Description: Defines the content fields to be used for semantic ranking, captions, highlights, and answers. For the best result, the selected fields should contain text in natural language form. The order of the fields in the array represents their priority. Fields with lower priority may get truncated if the content is long. ,
Required: False ,
}
[
{
fieldName:
{
Required: True ,
}
string ,
}
,
]
,
prioritizedKeywordsFields:
{
Description: Defines the keyword fields to be used for semantic ranking, captions, highlights, and answers. For the best result, the selected fields should contain a list of keywords. The order of the fields in the array represents their priority. Fields with lower priority may get truncated if the content is long. ,
Required: False ,
}
[
{
fieldName:
{
Required: True ,
}
string ,
}
,
]
,
}
,
rankingOrder:
{
Description: Specifies the score type to be used for the sort order of the search results. ,
Enum:
{
BoostedRerankerScore: Sets sort order as BoostedRerankerScore ,
RerankerScore: Sets sort order as ReRankerScore ,
}
,
Required: False ,
}
enum ,
}
,
]
,
}
,
vectorSearch:
{
Description: Contains configuration options related to vector search. ,
Required: False ,
}
{
profiles:
{
Description: Defines combinations of configurations to use with vector search. ,
Required: False ,
}
[
{
name:
{
Description: The name to associate with this particular vector search profile. ,
Required: True ,
}
string ,
algorithm:
{
Description: The name of the vector search algorithm configuration that specifies the algorithm and optional parameters. ,
Required: True ,
}
string ,
vectorizer:
{
Description: The name of the vectorization being configured for use with vector search. ,
Required: False ,
}
string ,
compression:
{
Description: The name of the compression method configuration that specifies the compression method and optional parameters. ,
Required: False ,
}
string ,
}
,
]
,
algorithms:
{
Description: Contains configuration options specific to the algorithm used during indexing or querying. ,
Required: False ,
}
[
{
name:
{
Description: The name to associate with this particular configuration. ,
Required: True ,
}
string ,
kind:
{
Description: The name of the kind of algorithm being configured for use with vector search. ,
Enum:
{
hnsw: HNSW (Hierarchical Navigable Small World), a type of approximate nearest neighbors algorithm. ,
exhaustiveKnn: Exhaustive KNN algorithm which will perform brute-force search. ,
}
,
Required: True ,
}
enum ,
}
,
]
,
vectorizers:
{
Description: Contains configuration options on how to vectorize text vector queries. ,
Required: False ,
}
[
{
name:
{
Description: The name to associate with this particular vectorization method. ,
Required: True ,
}
string ,
kind:
{
Description: The name of the kind of vectorization method being configured for use with vector search. ,
Enum:
{
azureOpenAI: Generate embeddings using an Azure OpenAI resource at query time. ,
customWebApi: Generate embeddings using a custom web endpoint at query time. ,
}
,
Required: True ,
}
enum ,
}
,
]
,
compressions:
{
Description: Contains configuration options specific to the compression method used during indexing or querying. ,
Required: False ,
}
[
{
name:
{
Description: The name to associate with this particular configuration. ,
Required: True ,
}
string ,
kind:
{
Description: The name of the kind of compression method being configured for use with vector search. ,
Enum:
{
scalarQuantization: Scalar Quantization, a type of compression method. In scalar quantization, the original vectors values are compressed to a narrower type by discretizing and representing each component of a vector using a reduced set of quantized values, thereby reducing the overall data size. ,
binaryQuantization: Binary Quantization, a type of compression method. In binary quantization, the original vectors values are compressed to the narrower binary type by discretizing and representing each component of a vector using binary values, thereby reducing the overall data size. ,
}
,
Required: True ,
}
enum ,
rescoringOptions:
{
Description: Contains the options for rescoring. ,
Required: False ,
}
{
enableRescoring:
{
Description: If set to true, after the initial search on the compressed vectors, the similarity scores are recalculated using the full-precision vectors. This will improve recall at the expense of latency. ,
Required: False ,
}
boolean ,
defaultOversampling:
{
Description: Default oversampling factor. Oversampling retrieves a greater set of potential documents to offset the resolution loss due to quantization. This increases the set of results that will be rescored on full-precision vectors. Minimum value is 1, meaning no oversampling (1x). This parameter can only be set when 'enableRescoring' is true. Higher values improve recall at the expense of latency. ,
Format: double ,
Required: False ,
}
number ,
rescoreStorageMethod:
{
Description: Controls the storage method for original vectors. This setting is immutable. ,
Enum:
{
preserveOriginals: This option preserves the original full-precision vectors. Choose this option for maximum flexibility and highest quality of compressed search results. This consumes more storage but allows for rescoring and oversampling. ,
discardOriginals: This option discards the original full-precision vectors. Choose this option for maximum storage savings. Since this option does not allow for rescoring and oversampling, it will often cause slight to moderate reductions in quality. ,
}
,
Required: False ,
}
enum ,
}
,
truncationDimension:
{
Description: The number of dimensions to truncate the vectors to. Truncating the vectors reduces the size of the vectors and the amount of data that needs to be transferred during search. This can save storage cost and improve search performance at the expense of recall. It should be only used for embeddings trained with Matryoshka Representation Learning (MRL) such as OpenAI text-embedding-3-large (small). The default value is null, which means no truncation. ,
Format: int32 ,
Required: False ,
}
integer ,
}
,
]
,
}
,
@odata.etag:
{
Description: The ETag of the index. ,
Required: False ,
}
string ,
}
,
]
,
}

⚐ Response (default)

{
error:
{
Description: The error object. ,
Required: False ,
}
{
code:
{
Description: The error code. ,
Required: False ,
}
string ,
message:
{
Description: The error message. ,
Required: False ,
}
string ,
target:
{
Description: The error target. ,
Required: False ,
}
string ,
details:
{
Description: The error details. ,
Required: False ,
}
[
string ,
]
,
additionalInfo:
{
Description: The error additional info. ,
Required: False ,
}
[
{
type:
{
Description: The additional info type. ,
Required: False ,
}
string ,
info:
{
Description: The additional info. ,
Required: False ,
}
object ,
}
,
]
,
}
,
}
Indexes_CreateOrUpdate (new)
Description :  Creates a new search index or updates an index if it already exists.
Reference :  Link ¶

⚼ Request

PUT:  /indexes('{indexName}')
{
indexName:
{
Description: The definition of the index to create or update. ,
Required: True ,
}
string ,
index:
{
Description: The definition of the index to create or update. ,
Required: True ,
}
{
name:
{
Description: The name of the index. ,
Required: True ,
}
string ,
description:
{
Description: The description of the index. ,
Required: False ,
}
string ,
fields:
{
Description: The fields of the index. ,
Required: True ,
}
[
{
name:
{
Description: The name of the field, which must be unique within the fields collection of the index or parent field. ,
Required: True ,
}
string ,
type:
{
Description: The data type of the field. ,
Enum:
{
Edm.String: Indicates that a field contains a string. ,
Edm.Int32: Indicates that a field contains a 32-bit signed integer. ,
Edm.Int64: Indicates that a field contains a 64-bit signed integer. ,
Edm.Double: Indicates that a field contains an IEEE double-precision floating point number. ,
Edm.Boolean: Indicates that a field contains a Boolean value (true or false). ,
Edm.DateTimeOffset: Indicates that a field contains a date/time value, including timezone information. ,
Edm.GeographyPoint: Indicates that a field contains a geo-location in terms of longitude and latitude. ,
Edm.ComplexType: Indicates that a field contains one or more complex objects that in turn have sub-fields of other types. ,
Edm.Single: Indicates that a field contains a single-precision floating point number. This is only valid when used with Collection(Edm.Single). ,
Edm.Half: Indicates that a field contains a half-precision floating point number. This is only valid when used with Collection(Edm.Half). ,
Edm.Int16: Indicates that a field contains a 16-bit signed integer. This is only valid when used with Collection(Edm.Int16). ,
Edm.SByte: Indicates that a field contains a 8-bit signed integer. This is only valid when used with Collection(Edm.SByte). ,
Edm.Byte: Indicates that a field contains a 8-bit unsigned integer. This is only valid when used with Collection(Edm.Byte). ,
}
,
Required: True ,
}
enum ,
key:
{
Description: A value indicating whether the field uniquely identifies documents in the index. Exactly one top-level field in each index must be chosen as the key field and it must be of type Edm.String. Key fields can be used to look up documents directly and update or delete specific documents. Default is false for simple fields and null for complex fields. ,
Required: False ,
}
boolean ,
retrievable:
{
Description: A value indicating whether the field can be returned in a search result. You can disable this option if you want to use a field (for example, margin) as a filter, sorting, or scoring mechanism but do not want the field to be visible to the end user. This property must be true for key fields, and it must be null for complex fields. This property can be changed on existing fields. Enabling this property does not cause any increase in index storage requirements. Default is true for simple fields, false for vector fields, and null for complex fields. ,
Required: False ,
}
boolean ,
stored:
{
Description: An immutable value indicating whether the field will be persisted separately on disk to be returned in a search result. You can disable this option if you don't plan to return the field contents in a search response to save on storage overhead. This can only be set during index creation and only for vector fields. This property cannot be changed for existing fields or set as false for new fields. If this property is set as false, the property 'retrievable' must also be set to false. This property must be true or unset for key fields, for new fields, and for non-vector fields, and it must be null for complex fields. Disabling this property will reduce index storage requirements. The default is true for vector fields. ,
Required: False ,
}
boolean ,
searchable:
{
Description: A value indicating whether the field is full-text searchable. This means it will undergo analysis such as word-breaking during indexing. If you set a searchable field to a value like "sunny day", internally it will be split into the individual tokens "sunny" and "day". This enables full-text searches for these terms. Fields of type Edm.String or Collection(Edm.String) are searchable by default. This property must be false for simple fields of other non-string data types, and it must be null for complex fields. Note: searchable fields consume extra space in your index to accommodate additional tokenized versions of the field value for full-text searches. If you want to save space in your index and you don't need a field to be included in searches, set searchable to false. ,
Required: False ,
}
boolean ,
filterable:
{
Description: A value indicating whether to enable the field to be referenced in $filter queries. filterable differs from searchable in how strings are handled. Fields of type Edm.String or Collection(Edm.String) that are filterable do not undergo word-breaking, so comparisons are for exact matches only. For example, if you set such a field f to "sunny day", $filter=f eq 'sunny' will find no matches, but $filter=f eq 'sunny day' will. This property must be null for complex fields. Default is true for simple fields and null for complex fields. ,
Required: False ,
}
boolean ,
sortable:
{
Description: A value indicating whether to enable the field to be referenced in $orderby expressions. By default, the search engine sorts results by score, but in many experiences users will want to sort by fields in the documents. A simple field can be sortable only if it is single-valued (it has a single value in the scope of the parent document). Simple collection fields cannot be sortable, since they are multi-valued. Simple sub-fields of complex collections are also multi-valued, and therefore cannot be sortable. This is true whether it's an immediate parent field, or an ancestor field, that's the complex collection. Complex fields cannot be sortable and the sortable property must be null for such fields. The default for sortable is true for single-valued simple fields, false for multi-valued simple fields, and null for complex fields. ,
Required: False ,
}
boolean ,
facetable:
{
Description: A value indicating whether to enable the field to be referenced in facet queries. Typically used in a presentation of search results that includes hit count by category (for example, search for digital cameras and see hits by brand, by megapixels, by price, and so on). This property must be null for complex fields. Fields of type Edm.GeographyPoint or Collection(Edm.GeographyPoint) cannot be facetable. Default is true for all other simple fields. ,
Required: False ,
}
boolean ,
analyzer:
{
Description: The name of the analyzer to use for the field. This option can be used only with searchable fields and it can't be set together with either searchAnalyzer or indexAnalyzer. Once the analyzer is chosen, it cannot be changed for the field. Must be null for complex fields. ,
Enum:
{
ar.microsoft: Microsoft analyzer for Arabic. ,
ar.lucene: Lucene analyzer for Arabic. ,
hy.lucene: Lucene analyzer for Armenian. ,
bn.microsoft: Microsoft analyzer for Bangla. ,
eu.lucene: Lucene analyzer for Basque. ,
bg.microsoft: Microsoft analyzer for Bulgarian. ,
bg.lucene: Lucene analyzer for Bulgarian. ,
ca.microsoft: Microsoft analyzer for Catalan. ,
ca.lucene: Lucene analyzer for Catalan. ,
zh-Hans.microsoft: Microsoft analyzer for Chinese (Simplified). ,
zh-Hans.lucene: Lucene analyzer for Chinese (Simplified). ,
zh-Hant.microsoft: Microsoft analyzer for Chinese (Traditional). ,
zh-Hant.lucene: Lucene analyzer for Chinese (Traditional). ,
hr.microsoft: Microsoft analyzer for Croatian. ,
cs.microsoft: Microsoft analyzer for Czech. ,
cs.lucene: Lucene analyzer for Czech. ,
da.microsoft: Microsoft analyzer for Danish. ,
da.lucene: Lucene analyzer for Danish. ,
nl.microsoft: Microsoft analyzer for Dutch. ,
nl.lucene: Lucene analyzer for Dutch. ,
en.microsoft: Microsoft analyzer for English. ,
en.lucene: Lucene analyzer for English. ,
et.microsoft: Microsoft analyzer for Estonian. ,
fi.microsoft: Microsoft analyzer for Finnish. ,
fi.lucene: Lucene analyzer for Finnish. ,
fr.microsoft: Microsoft analyzer for French. ,
fr.lucene: Lucene analyzer for French. ,
gl.lucene: Lucene analyzer for Galician. ,
de.microsoft: Microsoft analyzer for German. ,
de.lucene: Lucene analyzer for German. ,
el.microsoft: Microsoft analyzer for Greek. ,
el.lucene: Lucene analyzer for Greek. ,
gu.microsoft: Microsoft analyzer for Gujarati. ,
he.microsoft: Microsoft analyzer for Hebrew. ,
hi.microsoft: Microsoft analyzer for Hindi. ,
hi.lucene: Lucene analyzer for Hindi. ,
hu.microsoft: Microsoft analyzer for Hungarian. ,
hu.lucene: Lucene analyzer for Hungarian. ,
is.microsoft: Microsoft analyzer for Icelandic. ,
id.microsoft: Microsoft analyzer for Indonesian (Bahasa). ,
id.lucene: Lucene analyzer for Indonesian. ,
ga.lucene: Lucene analyzer for Irish. ,
it.microsoft: Microsoft analyzer for Italian. ,
it.lucene: Lucene analyzer for Italian. ,
ja.microsoft: Microsoft analyzer for Japanese. ,
ja.lucene: Lucene analyzer for Japanese. ,
kn.microsoft: Microsoft analyzer for Kannada. ,
ko.microsoft: Microsoft analyzer for Korean. ,
ko.lucene: Lucene analyzer for Korean. ,
lv.microsoft: Microsoft analyzer for Latvian. ,
lv.lucene: Lucene analyzer for Latvian. ,
lt.microsoft: Microsoft analyzer for Lithuanian. ,
ml.microsoft: Microsoft analyzer for Malayalam. ,
ms.microsoft: Microsoft analyzer for Malay (Latin). ,
mr.microsoft: Microsoft analyzer for Marathi. ,
nb.microsoft: Microsoft analyzer for Norwegian (Bokmål). ,
no.lucene: Lucene analyzer for Norwegian. ,
fa.lucene: Lucene analyzer for Persian. ,
pl.microsoft: Microsoft analyzer for Polish. ,
pl.lucene: Lucene analyzer for Polish. ,
pt-BR.microsoft: Microsoft analyzer for Portuguese (Brazil). ,
pt-BR.lucene: Lucene analyzer for Portuguese (Brazil). ,
pt-PT.microsoft: Microsoft analyzer for Portuguese (Portugal). ,
pt-PT.lucene: Lucene analyzer for Portuguese (Portugal). ,
pa.microsoft: Microsoft analyzer for Punjabi. ,
ro.microsoft: Microsoft analyzer for Romanian. ,
ro.lucene: Lucene analyzer for Romanian. ,
ru.microsoft: Microsoft analyzer for Russian. ,
ru.lucene: Lucene analyzer for Russian. ,
sr-cyrillic.microsoft: Microsoft analyzer for Serbian (Cyrillic). ,
sr-latin.microsoft: Microsoft analyzer for Serbian (Latin). ,
sk.microsoft: Microsoft analyzer for Slovak. ,
sl.microsoft: Microsoft analyzer for Slovenian. ,
es.microsoft: Microsoft analyzer for Spanish. ,
es.lucene: Lucene analyzer for Spanish. ,
sv.microsoft: Microsoft analyzer for Swedish. ,
sv.lucene: Lucene analyzer for Swedish. ,
ta.microsoft: Microsoft analyzer for Tamil. ,
te.microsoft: Microsoft analyzer for Telugu. ,
th.microsoft: Microsoft analyzer for Thai. ,
th.lucene: Lucene analyzer for Thai. ,
tr.microsoft: Microsoft analyzer for Turkish. ,
tr.lucene: Lucene analyzer for Turkish. ,
uk.microsoft: Microsoft analyzer for Ukrainian. ,
ur.microsoft: Microsoft analyzer for Urdu. ,
vi.microsoft: Microsoft analyzer for Vietnamese. ,
standard.lucene: Standard Lucene analyzer. ,
standardasciifolding.lucene: Standard ASCII Folding Lucene analyzer. See https://learn.microsoft.com/rest/api/searchservice/Custom-analyzers-in-Azure-Search#Analyzers ,
keyword: Treats the entire content of a field as a single token. This is useful for data like zip codes, ids, and some product names. See http://lucene.apache.org/core/4_10_3/analyzers-common/org/apache/lucene/analysis/core/KeywordAnalyzer.html ,
pattern: Flexibly separates text into terms via a regular expression pattern. See http://lucene.apache.org/core/4_10_3/analyzers-common/org/apache/lucene/analysis/miscellaneous/PatternAnalyzer.html ,
simple: Divides text at non-letters and converts them to lower case. See http://lucene.apache.org/core/4_10_3/analyzers-common/org/apache/lucene/analysis/core/SimpleAnalyzer.html ,
stop: Divides text at non-letters; Applies the lowercase and stopword token filters. See http://lucene.apache.org/core/4_10_3/analyzers-common/org/apache/lucene/analysis/core/StopAnalyzer.html ,
whitespace: An analyzer that uses the whitespace tokenizer. See http://lucene.apache.org/core/4_10_3/analyzers-common/org/apache/lucene/analysis/core/WhitespaceAnalyzer.html ,
}
,
Required: False ,
}
enum ,
searchAnalyzer:
{
Description: The name of the analyzer used at search time for the field. This option can be used only with searchable fields. It must be set together with indexAnalyzer and it cannot be set together with the analyzer option. This property cannot be set to the name of a language analyzer; use the analyzer property instead if you need a language analyzer. This analyzer can be updated on an existing field. Must be null for complex fields. ,
Enum:
{
ar.microsoft: Microsoft analyzer for Arabic. ,
ar.lucene: Lucene analyzer for Arabic. ,
hy.lucene: Lucene analyzer for Armenian. ,
bn.microsoft: Microsoft analyzer for Bangla. ,
eu.lucene: Lucene analyzer for Basque. ,
bg.microsoft: Microsoft analyzer for Bulgarian. ,
bg.lucene: Lucene analyzer for Bulgarian. ,
ca.microsoft: Microsoft analyzer for Catalan. ,
ca.lucene: Lucene analyzer for Catalan. ,
zh-Hans.microsoft: Microsoft analyzer for Chinese (Simplified). ,
zh-Hans.lucene: Lucene analyzer for Chinese (Simplified). ,
zh-Hant.microsoft: Microsoft analyzer for Chinese (Traditional). ,
zh-Hant.lucene: Lucene analyzer for Chinese (Traditional). ,
hr.microsoft: Microsoft analyzer for Croatian. ,
cs.microsoft: Microsoft analyzer for Czech. ,
cs.lucene: Lucene analyzer for Czech. ,
da.microsoft: Microsoft analyzer for Danish. ,
da.lucene: Lucene analyzer for Danish. ,
nl.microsoft: Microsoft analyzer for Dutch. ,
nl.lucene: Lucene analyzer for Dutch. ,
en.microsoft: Microsoft analyzer for English. ,
en.lucene: Lucene analyzer for English. ,
et.microsoft: Microsoft analyzer for Estonian. ,
fi.microsoft: Microsoft analyzer for Finnish. ,
fi.lucene: Lucene analyzer for Finnish. ,
fr.microsoft: Microsoft analyzer for French. ,
fr.lucene: Lucene analyzer for French. ,
gl.lucene: Lucene analyzer for Galician. ,
de.microsoft: Microsoft analyzer for German. ,
de.lucene: Lucene analyzer for German. ,
el.microsoft: Microsoft analyzer for Greek. ,
el.lucene: Lucene analyzer for Greek. ,
gu.microsoft: Microsoft analyzer for Gujarati. ,
he.microsoft: Microsoft analyzer for Hebrew. ,
hi.microsoft: Microsoft analyzer for Hindi. ,
hi.lucene: Lucene analyzer for Hindi. ,
hu.microsoft: Microsoft analyzer for Hungarian. ,
hu.lucene: Lucene analyzer for Hungarian. ,
is.microsoft: Microsoft analyzer for Icelandic. ,
id.microsoft: Microsoft analyzer for Indonesian (Bahasa). ,
id.lucene: Lucene analyzer for Indonesian. ,
ga.lucene: Lucene analyzer for Irish. ,
it.microsoft: Microsoft analyzer for Italian. ,
it.lucene: Lucene analyzer for Italian. ,
ja.microsoft: Microsoft analyzer for Japanese. ,
ja.lucene: Lucene analyzer for Japanese. ,
kn.microsoft: Microsoft analyzer for Kannada. ,
ko.microsoft: Microsoft analyzer for Korean. ,
ko.lucene: Lucene analyzer for Korean. ,
lv.microsoft: Microsoft analyzer for Latvian. ,
lv.lucene: Lucene analyzer for Latvian. ,
lt.microsoft: Microsoft analyzer for Lithuanian. ,
ml.microsoft: Microsoft analyzer for Malayalam. ,
ms.microsoft: Microsoft analyzer for Malay (Latin). ,
mr.microsoft: Microsoft analyzer for Marathi. ,
nb.microsoft: Microsoft analyzer for Norwegian (Bokmål). ,
no.lucene: Lucene analyzer for Norwegian. ,
fa.lucene: Lucene analyzer for Persian. ,
pl.microsoft: Microsoft analyzer for Polish. ,
pl.lucene: Lucene analyzer for Polish. ,
pt-BR.microsoft: Microsoft analyzer for Portuguese (Brazil). ,
pt-BR.lucene: Lucene analyzer for Portuguese (Brazil). ,
pt-PT.microsoft: Microsoft analyzer for Portuguese (Portugal). ,
pt-PT.lucene: Lucene analyzer for Portuguese (Portugal). ,
pa.microsoft: Microsoft analyzer for Punjabi. ,
ro.microsoft: Microsoft analyzer for Romanian. ,
ro.lucene: Lucene analyzer for Romanian. ,
ru.microsoft: Microsoft analyzer for Russian. ,
ru.lucene: Lucene analyzer for Russian. ,
sr-cyrillic.microsoft: Microsoft analyzer for Serbian (Cyrillic). ,
sr-latin.microsoft: Microsoft analyzer for Serbian (Latin). ,
sk.microsoft: Microsoft analyzer for Slovak. ,
sl.microsoft: Microsoft analyzer for Slovenian. ,
es.microsoft: Microsoft analyzer for Spanish. ,
es.lucene: Lucene analyzer for Spanish. ,
sv.microsoft: Microsoft analyzer for Swedish. ,
sv.lucene: Lucene analyzer for Swedish. ,
ta.microsoft: Microsoft analyzer for Tamil. ,
te.microsoft: Microsoft analyzer for Telugu. ,
th.microsoft: Microsoft analyzer for Thai. ,
th.lucene: Lucene analyzer for Thai. ,
tr.microsoft: Microsoft analyzer for Turkish. ,
tr.lucene: Lucene analyzer for Turkish. ,
uk.microsoft: Microsoft analyzer for Ukrainian. ,
ur.microsoft: Microsoft analyzer for Urdu. ,
vi.microsoft: Microsoft analyzer for Vietnamese. ,
standard.lucene: Standard Lucene analyzer. ,
standardasciifolding.lucene: Standard ASCII Folding Lucene analyzer. See https://learn.microsoft.com/rest/api/searchservice/Custom-analyzers-in-Azure-Search#Analyzers ,
keyword: Treats the entire content of a field as a single token. This is useful for data like zip codes, ids, and some product names. See http://lucene.apache.org/core/4_10_3/analyzers-common/org/apache/lucene/analysis/core/KeywordAnalyzer.html ,
pattern: Flexibly separates text into terms via a regular expression pattern. See http://lucene.apache.org/core/4_10_3/analyzers-common/org/apache/lucene/analysis/miscellaneous/PatternAnalyzer.html ,
simple: Divides text at non-letters and converts them to lower case. See http://lucene.apache.org/core/4_10_3/analyzers-common/org/apache/lucene/analysis/core/SimpleAnalyzer.html ,
stop: Divides text at non-letters; Applies the lowercase and stopword token filters. See http://lucene.apache.org/core/4_10_3/analyzers-common/org/apache/lucene/analysis/core/StopAnalyzer.html ,
whitespace: An analyzer that uses the whitespace tokenizer. See http://lucene.apache.org/core/4_10_3/analyzers-common/org/apache/lucene/analysis/core/WhitespaceAnalyzer.html ,
}
,
Required: False ,
}
enum ,
indexAnalyzer:
{
Description: The name of the analyzer used at indexing time for the field. This option can be used only with searchable fields. It must be set together with searchAnalyzer and it cannot be set together with the analyzer option. This property cannot be set to the name of a language analyzer; use the analyzer property instead if you need a language analyzer. Once the analyzer is chosen, it cannot be changed for the field. Must be null for complex fields. ,
Enum:
{
ar.microsoft: Microsoft analyzer for Arabic. ,
ar.lucene: Lucene analyzer for Arabic. ,
hy.lucene: Lucene analyzer for Armenian. ,
bn.microsoft: Microsoft analyzer for Bangla. ,
eu.lucene: Lucene analyzer for Basque. ,
bg.microsoft: Microsoft analyzer for Bulgarian. ,
bg.lucene: Lucene analyzer for Bulgarian. ,
ca.microsoft: Microsoft analyzer for Catalan. ,
ca.lucene: Lucene analyzer for Catalan. ,
zh-Hans.microsoft: Microsoft analyzer for Chinese (Simplified). ,
zh-Hans.lucene: Lucene analyzer for Chinese (Simplified). ,
zh-Hant.microsoft: Microsoft analyzer for Chinese (Traditional). ,
zh-Hant.lucene: Lucene analyzer for Chinese (Traditional). ,
hr.microsoft: Microsoft analyzer for Croatian. ,
cs.microsoft: Microsoft analyzer for Czech. ,
cs.lucene: Lucene analyzer for Czech. ,
da.microsoft: Microsoft analyzer for Danish. ,
da.lucene: Lucene analyzer for Danish. ,
nl.microsoft: Microsoft analyzer for Dutch. ,
nl.lucene: Lucene analyzer for Dutch. ,
en.microsoft: Microsoft analyzer for English. ,
en.lucene: Lucene analyzer for English. ,
et.microsoft: Microsoft analyzer for Estonian. ,
fi.microsoft: Microsoft analyzer for Finnish. ,
fi.lucene: Lucene analyzer for Finnish. ,
fr.microsoft: Microsoft analyzer for French. ,
fr.lucene: Lucene analyzer for French. ,
gl.lucene: Lucene analyzer for Galician. ,
de.microsoft: Microsoft analyzer for German. ,
de.lucene: Lucene analyzer for German. ,
el.microsoft: Microsoft analyzer for Greek. ,
el.lucene: Lucene analyzer for Greek. ,
gu.microsoft: Microsoft analyzer for Gujarati. ,
he.microsoft: Microsoft analyzer for Hebrew. ,
hi.microsoft: Microsoft analyzer for Hindi. ,
hi.lucene: Lucene analyzer for Hindi. ,
hu.microsoft: Microsoft analyzer for Hungarian. ,
hu.lucene: Lucene analyzer for Hungarian. ,
is.microsoft: Microsoft analyzer for Icelandic. ,
id.microsoft: Microsoft analyzer for Indonesian (Bahasa). ,
id.lucene: Lucene analyzer for Indonesian. ,
ga.lucene: Lucene analyzer for Irish. ,
it.microsoft: Microsoft analyzer for Italian. ,
it.lucene: Lucene analyzer for Italian. ,
ja.microsoft: Microsoft analyzer for Japanese. ,
ja.lucene: Lucene analyzer for Japanese. ,
kn.microsoft: Microsoft analyzer for Kannada. ,
ko.microsoft: Microsoft analyzer for Korean. ,
ko.lucene: Lucene analyzer for Korean. ,
lv.microsoft: Microsoft analyzer for Latvian. ,
lv.lucene: Lucene analyzer for Latvian. ,
lt.microsoft: Microsoft analyzer for Lithuanian. ,
ml.microsoft: Microsoft analyzer for Malayalam. ,
ms.microsoft: Microsoft analyzer for Malay (Latin). ,
mr.microsoft: Microsoft analyzer for Marathi. ,
nb.microsoft: Microsoft analyzer for Norwegian (Bokmål). ,
no.lucene: Lucene analyzer for Norwegian. ,
fa.lucene: Lucene analyzer for Persian. ,
pl.microsoft: Microsoft analyzer for Polish. ,
pl.lucene: Lucene analyzer for Polish. ,
pt-BR.microsoft: Microsoft analyzer for Portuguese (Brazil). ,
pt-BR.lucene: Lucene analyzer for Portuguese (Brazil). ,
pt-PT.microsoft: Microsoft analyzer for Portuguese (Portugal). ,
pt-PT.lucene: Lucene analyzer for Portuguese (Portugal). ,
pa.microsoft: Microsoft analyzer for Punjabi. ,
ro.microsoft: Microsoft analyzer for Romanian. ,
ro.lucene: Lucene analyzer for Romanian. ,
ru.microsoft: Microsoft analyzer for Russian. ,
ru.lucene: Lucene analyzer for Russian. ,
sr-cyrillic.microsoft: Microsoft analyzer for Serbian (Cyrillic). ,
sr-latin.microsoft: Microsoft analyzer for Serbian (Latin). ,
sk.microsoft: Microsoft analyzer for Slovak. ,
sl.microsoft: Microsoft analyzer for Slovenian. ,
es.microsoft: Microsoft analyzer for Spanish. ,
es.lucene: Lucene analyzer for Spanish. ,
sv.microsoft: Microsoft analyzer for Swedish. ,
sv.lucene: Lucene analyzer for Swedish. ,
ta.microsoft: Microsoft analyzer for Tamil. ,
te.microsoft: Microsoft analyzer for Telugu. ,
th.microsoft: Microsoft analyzer for Thai. ,
th.lucene: Lucene analyzer for Thai. ,
tr.microsoft: Microsoft analyzer for Turkish. ,
tr.lucene: Lucene analyzer for Turkish. ,
uk.microsoft: Microsoft analyzer for Ukrainian. ,
ur.microsoft: Microsoft analyzer for Urdu. ,
vi.microsoft: Microsoft analyzer for Vietnamese. ,
standard.lucene: Standard Lucene analyzer. ,
standardasciifolding.lucene: Standard ASCII Folding Lucene analyzer. See https://learn.microsoft.com/rest/api/searchservice/Custom-analyzers-in-Azure-Search#Analyzers ,
keyword: Treats the entire content of a field as a single token. This is useful for data like zip codes, ids, and some product names. See http://lucene.apache.org/core/4_10_3/analyzers-common/org/apache/lucene/analysis/core/KeywordAnalyzer.html ,
pattern: Flexibly separates text into terms via a regular expression pattern. See http://lucene.apache.org/core/4_10_3/analyzers-common/org/apache/lucene/analysis/miscellaneous/PatternAnalyzer.html ,
simple: Divides text at non-letters and converts them to lower case. See http://lucene.apache.org/core/4_10_3/analyzers-common/org/apache/lucene/analysis/core/SimpleAnalyzer.html ,
stop: Divides text at non-letters; Applies the lowercase and stopword token filters. See http://lucene.apache.org/core/4_10_3/analyzers-common/org/apache/lucene/analysis/core/StopAnalyzer.html ,
whitespace: An analyzer that uses the whitespace tokenizer. See http://lucene.apache.org/core/4_10_3/analyzers-common/org/apache/lucene/analysis/core/WhitespaceAnalyzer.html ,
}
,
Required: False ,
}
enum ,
normalizer:
{
Description: The name of the normalizer to use for the field. This option can be used only with fields with filterable, sortable, or facetable enabled. Once the normalizer is chosen, it cannot be changed for the field. Must be null for complex fields. ,
Enum:
{
asciifolding: Converts alphabetic, numeric, and symbolic Unicode characters which are not in the first 127 ASCII characters (the "Basic Latin" Unicode block) into their ASCII equivalents, if such equivalents exist. See http://lucene.apache.org/core/4_10_3/analyzers-common/org/apache/lucene/analysis/miscellaneous/ASCIIFoldingFilter.html ,
elision: Removes elisions. For example, "l'avion" (the plane) will be converted to "avion" (plane). See http://lucene.apache.org/core/4_10_3/analyzers-common/org/apache/lucene/analysis/util/ElisionFilter.html ,
lowercase: Normalizes token text to lowercase. See https://lucene.apache.org/core/6_6_1/analyzers-common/org/apache/lucene/analysis/core/LowerCaseFilter.html ,
standard: Standard normalizer, which consists of lowercase and asciifolding. See http://lucene.apache.org/core/4_10_3/analyzers-common/org/apache/lucene/analysis/reverse/ReverseStringFilter.html ,
uppercase: Normalizes token text to uppercase. See https://lucene.apache.org/core/6_6_1/analyzers-common/org/apache/lucene/analysis/core/UpperCaseFilter.html ,
}
,
Required: False ,
}
enum ,
dimensions:
{
Description: The dimensionality of the vector field. ,
Format: int32 ,
Required: False ,
}
integer ,
vectorSearchProfile:
{
Description: The name of the vector search profile that specifies the algorithm and vectorizer to use when searching the vector field. ,
Required: False ,
}
string ,
vectorEncoding:
{
Description: The encoding format to interpret the field contents. ,
Enum:
{
packedBit: Encoding format representing bits packed into a wider data type. ,
}
,
Required: False ,
}
enum ,
synonymMaps:
{
Description: A list of the names of synonym maps to associate with this field. This option can be used only with searchable fields. Currently only one synonym map per field is supported. Assigning a synonym map to a field ensures that query terms targeting that field are expanded at query-time using the rules in the synonym map. This attribute can be changed on existing fields. Must be null or an empty collection for complex fields. ,
Required: False ,
}
[
string ,
]
,
fields:
{
Description: A list of sub-fields if this is a field of type Edm.ComplexType or Collection(Edm.ComplexType). Must be null or empty for simple fields. ,
Required: False ,
}
[
string ,
]
,
}
,
]
,
scoringProfiles:
{
Description: The scoring profiles for the index. ,
Required: False ,
}
[
{
name:
{
Description: The name of the scoring profile. ,
Required: True ,
}
string ,
text:
{
Description: Parameters that boost scoring based on text matches in certain index fields. ,
Required: False ,
}
{
weights:
{
Description: The dictionary of per-field weights to boost document scoring. The keys are field names and the values are the weights for each field. ,
Required: True ,
}
object ,
}
,
functions:
{
Description: The collection of functions that influence the scoring of documents. ,
Required: False ,
}
[
{
type:
{
Description: Indicates the type of function to use. Valid values include magnitude, freshness, distance, and tag. The function type must be lower case. ,
Required: True ,
}
string ,
fieldName:
{
Description: The name of the field used as input to the scoring function. ,
Required: True ,
}
string ,
boost:
{
Description: A multiplier for the raw score. Must be a positive number not equal to 1.0. ,
Format: double ,
Required: True ,
}
number ,
interpolation:
{
Description: A value indicating how boosting will be interpolated across document scores; defaults to "Linear". ,
Enum:
{
linear: Boosts scores by a linearly decreasing amount. This is the default interpolation for scoring functions. ,
constant: Boosts scores by a constant factor. ,
quadratic: Boosts scores by an amount that decreases quadratically. Boosts decrease slowly for higher scores, and more quickly as the scores decrease. This interpolation option is not allowed in tag scoring functions. ,
logarithmic: Boosts scores by an amount that decreases logarithmically. Boosts decrease quickly for higher scores, and more slowly as the scores decrease. This interpolation option is not allowed in tag scoring functions. ,
}
,
Required: False ,
}
enum ,
}
,
]
,
functionAggregation:
{
Description: A value indicating how the results of individual scoring functions should be combined. Defaults to "Sum". Ignored if there are no scoring functions. ,
Enum:
{
sum: Boost scores by the sum of all scoring function results. ,
average: Boost scores by the average of all scoring function results. ,
minimum: Boost scores by the minimum of all scoring function results. ,
maximum: Boost scores by the maximum of all scoring function results. ,
firstMatching: Boost scores using the first applicable scoring function in the scoring profile. ,
}
,
Required: False ,
}
enum ,
}
,
]
,
defaultScoringProfile:
{
Description: The name of the scoring profile to use if none is specified in the query. If this property is not set and no scoring profile is specified in the query, then default scoring (tf-idf) will be used. ,
Required: False ,
}
string ,
corsOptions:
{
Description: Options to control Cross-Origin Resource Sharing (CORS) for the index. ,
Required: False ,
}
{
allowedOrigins:
{
Description: The list of origins from which JavaScript code will be granted access to your index. Can contain a list of hosts of the form {protocol}://{fully-qualified-domain-name}[:{port#}], or a single '*' to allow all origins (not recommended). ,
Required: True ,
}
[
string ,
]
,
maxAgeInSeconds:
{
Description: The duration for which browsers should cache CORS preflight responses. Defaults to 5 minutes. ,
Format: int64 ,
Required: False ,
}
integer ,
}
,
suggesters:
{
Description: The suggesters for the index. ,
Required: False ,
}
[
{
name:
{
Description: The name of the suggester. ,
Required: True ,
}
string ,
searchMode:
{
Description: A value indicating the capabilities of the suggester. ,
Enum:
{
analyzingInfixMatching: Matches consecutive whole terms and prefixes in a field. For example, for the field 'The fastest brown fox', the queries 'fast' and 'fastest brow' would both match. ,
}
,
Required: True ,
}
enum ,
sourceFields:
{
Description: The list of field names to which the suggester applies. Each field must be searchable. ,
Required: True ,
}
[
string ,
]
,
}
,
]
,
analyzers:
{
Description: The analyzers for the index. ,
Required: False ,
}
[
{
@odata.type:
{
Description: A URI fragment specifying the type of analyzer. ,
Required: True ,
}
string ,
name:
{
Description: The name of the analyzer. It must only contain letters, digits, spaces, dashes or underscores, can only start and end with alphanumeric characters, and is limited to 128 characters. ,
Required: True ,
}
string ,
}
,
]
,
tokenizers:
{
Description: The tokenizers for the index. ,
Required: False ,
}
[
{
@odata.type:
{
Description: A URI fragment specifying the type of tokenizer. ,
Required: True ,
}
string ,
name:
{
Description: The name of the tokenizer. It must only contain letters, digits, spaces, dashes or underscores, can only start and end with alphanumeric characters, and is limited to 128 characters. ,
Required: True ,
}
string ,
}
,
]
,
tokenFilters:
{
Description: The token filters for the index. ,
Required: False ,
}
[
{
@odata.type:
{
Description: A URI fragment specifying the type of token filter. ,
Required: True ,
}
string ,
name:
{
Description: The name of the token filter. It must only contain letters, digits, spaces, dashes or underscores, can only start and end with alphanumeric characters, and is limited to 128 characters. ,
Required: True ,
}
string ,
}
,
]
,
charFilters:
{
Description: The character filters for the index. ,
Required: False ,
}
[
{
@odata.type:
{
Description: A URI fragment specifying the type of char filter. ,
Required: True ,
}
string ,
name:
{
Description: The name of the char filter. It must only contain letters, digits, spaces, dashes or underscores, can only start and end with alphanumeric characters, and is limited to 128 characters. ,
Required: True ,
}
string ,
}
,
]
,
normalizers:
{
Description: The normalizers for the index. ,
Required: False ,
}
[
{
@odata.type:
{
Description: A URI fragment specifying the type of normalizer. ,
Required: True ,
}
string ,
name:
{
Description: The name of the normalizer. It must only contain letters, digits, spaces, dashes or underscores, can only start and end with alphanumeric characters, and is limited to 128 characters. It cannot end in '.microsoft' nor '.lucene', nor be named 'asciifolding', 'standard', 'lowercase', 'uppercase', or 'elision'. ,
Required: True ,
}
string ,
}
,
]
,
encryptionKey:
{
Description: A description of an encryption key that you create in Azure Key Vault. This key is used to provide an additional level of encryption-at-rest for your data when you want full assurance that no one, not even Microsoft, can decrypt your data. Once you have encrypted your data, it will always remain encrypted. The search service will ignore attempts to set this property to null. You can change this property as needed if you want to rotate your encryption key; Your data will be unaffected. Encryption with customer-managed keys is not available for free search services, and is only available for paid services created on or after January 1, 2019. ,
Required: False ,
}
{
keyVaultKeyName:
{
Description: The name of your Azure Key Vault key to be used to encrypt your data at rest. ,
Required: True ,
}
string ,
keyVaultKeyVersion:
{
Description: The version of your Azure Key Vault key to be used to encrypt your data at rest. ,
Required: True ,
}
string ,
keyVaultUri:
{
Description: The URI of your Azure Key Vault, also referred to as DNS name, that contains the key to be used to encrypt your data at rest. An example URI might be `https://my-keyvault-name.vault.azure.net`. ,
Required: True ,
}
string ,
accessCredentials:
{
Description: Optional Azure Active Directory credentials used for accessing your Azure Key Vault. Not required if using managed identity instead. ,
Required: False ,
}
{
applicationId:
{
Description: An AAD Application ID that was granted the required access permissions to the Azure Key Vault that is to be used when encrypting your data at rest. The Application ID should not be confused with the Object ID for your AAD Application. ,
Required: True ,
}
string ,
applicationSecret:
{
Description: The authentication key of the specified AAD application. ,
Required: False ,
}
string ,
}
,
}
,
similarity:
{
Description: The type of similarity algorithm to be used when scoring and ranking the documents matching a search query. The similarity algorithm can only be defined at index creation time and cannot be modified on existing indexes. If null, the ClassicSimilarity algorithm is used. ,
Required: False ,
}
{
@odata.type:
{
Required: True ,
}
string ,
}
,
semantic:
{
Description: Defines parameters for a search index that influence semantic capabilities. ,
Required: False ,
}
{
defaultConfiguration:
{
Description: Allows you to set the name of a default semantic configuration in your index, making it optional to pass it on as a query parameter every time. ,
Required: False ,
}
string ,
configurations:
{
Description: The semantic configurations for the index. ,
Required: False ,
}
[
{
name:
{
Description: The name of the semantic configuration. ,
Required: True ,
}
string ,
prioritizedFields:
{
Description: Describes the title, content, and keyword fields to be used for semantic ranking, captions, highlights, and answers. At least one of the three sub properties (titleField, prioritizedKeywordsFields and prioritizedContentFields) need to be set. ,
Required: True ,
}
{
titleField:
{
Description: Defines the title field to be used for semantic ranking, captions, highlights, and answers. If you don't have a title field in your index, leave this blank. ,
Required: False ,
}
{
fieldName:
{
Required: True ,
}
string ,
}
,
prioritizedContentFields:
{
Description: Defines the content fields to be used for semantic ranking, captions, highlights, and answers. For the best result, the selected fields should contain text in natural language form. The order of the fields in the array represents their priority. Fields with lower priority may get truncated if the content is long. ,
Required: False ,
}
[
{
fieldName:
{
Required: True ,
}
string ,
}
,
]
,
prioritizedKeywordsFields:
{
Description: Defines the keyword fields to be used for semantic ranking, captions, highlights, and answers. For the best result, the selected fields should contain a list of keywords. The order of the fields in the array represents their priority. Fields with lower priority may get truncated if the content is long. ,
Required: False ,
}
[
{
fieldName:
{
Required: True ,
}
string ,
}
,
]
,
}
,
rankingOrder:
{
Description: Specifies the score type to be used for the sort order of the search results. ,
Enum:
{
BoostedRerankerScore: Sets sort order as BoostedRerankerScore ,
RerankerScore: Sets sort order as ReRankerScore ,
}
,
Required: False ,
}
enum ,
}
,
]
,
}
,
vectorSearch:
{
Description: Contains configuration options related to vector search. ,
Required: False ,
}
{
profiles:
{
Description: Defines combinations of configurations to use with vector search. ,
Required: False ,
}
[
{
name:
{
Description: The name to associate with this particular vector search profile. ,
Required: True ,
}
string ,
algorithm:
{
Description: The name of the vector search algorithm configuration that specifies the algorithm and optional parameters. ,
Required: True ,
}
string ,
vectorizer:
{
Description: The name of the vectorization being configured for use with vector search. ,
Required: False ,
}
string ,
compression:
{
Description: The name of the compression method configuration that specifies the compression method and optional parameters. ,
Required: False ,
}
string ,
}
,
]
,
algorithms:
{
Description: Contains configuration options specific to the algorithm used during indexing or querying. ,
Required: False ,
}
[
{
name:
{
Description: The name to associate with this particular configuration. ,
Required: True ,
}
string ,
kind:
{
Description: The name of the kind of algorithm being configured for use with vector search. ,
Enum:
{
hnsw: HNSW (Hierarchical Navigable Small World), a type of approximate nearest neighbors algorithm. ,
exhaustiveKnn: Exhaustive KNN algorithm which will perform brute-force search. ,
}
,
Required: True ,
}
enum ,
}
,
]
,
vectorizers:
{
Description: Contains configuration options on how to vectorize text vector queries. ,
Required: False ,
}
[
{
name:
{
Description: The name to associate with this particular vectorization method. ,
Required: True ,
}
string ,
kind:
{
Description: The name of the kind of vectorization method being configured for use with vector search. ,
Enum:
{
azureOpenAI: Generate embeddings using an Azure OpenAI resource at query time. ,
customWebApi: Generate embeddings using a custom web endpoint at query time. ,
}
,
Required: True ,
}
enum ,
}
,
]
,
compressions:
{
Description: Contains configuration options specific to the compression method used during indexing or querying. ,
Required: False ,
}
[
{
name:
{
Description: The name to associate with this particular configuration. ,
Required: True ,
}
string ,
kind:
{
Description: The name of the kind of compression method being configured for use with vector search. ,
Enum:
{
scalarQuantization: Scalar Quantization, a type of compression method. In scalar quantization, the original vectors values are compressed to a narrower type by discretizing and representing each component of a vector using a reduced set of quantized values, thereby reducing the overall data size. ,
binaryQuantization: Binary Quantization, a type of compression method. In binary quantization, the original vectors values are compressed to the narrower binary type by discretizing and representing each component of a vector using binary values, thereby reducing the overall data size. ,
}
,
Required: True ,
}
enum ,
rescoringOptions:
{
Description: Contains the options for rescoring. ,
Required: False ,
}
{
enableRescoring:
{
Description: If set to true, after the initial search on the compressed vectors, the similarity scores are recalculated using the full-precision vectors. This will improve recall at the expense of latency. ,
Required: False ,
}
boolean ,
defaultOversampling:
{
Description: Default oversampling factor. Oversampling retrieves a greater set of potential documents to offset the resolution loss due to quantization. This increases the set of results that will be rescored on full-precision vectors. Minimum value is 1, meaning no oversampling (1x). This parameter can only be set when 'enableRescoring' is true. Higher values improve recall at the expense of latency. ,
Format: double ,
Required: False ,
}
number ,
rescoreStorageMethod:
{
Description: Controls the storage method for original vectors. This setting is immutable. ,
Enum:
{
preserveOriginals: This option preserves the original full-precision vectors. Choose this option for maximum flexibility and highest quality of compressed search results. This consumes more storage but allows for rescoring and oversampling. ,
discardOriginals: This option discards the original full-precision vectors. Choose this option for maximum storage savings. Since this option does not allow for rescoring and oversampling, it will often cause slight to moderate reductions in quality. ,
}
,
Required: False ,
}
enum ,
}
,
truncationDimension:
{
Description: The number of dimensions to truncate the vectors to. Truncating the vectors reduces the size of the vectors and the amount of data that needs to be transferred during search. This can save storage cost and improve search performance at the expense of recall. It should be only used for embeddings trained with Matryoshka Representation Learning (MRL) such as OpenAI text-embedding-3-large (small). The default value is null, which means no truncation. ,
Format: int32 ,
Required: False ,
}
integer ,
}
,
]
,
}
,
@odata.etag:
{
Description: The ETag of the index. ,
Required: False ,
}
string ,
}
,
allowIndexDowntime:
{
Description: Allows new analyzers, tokenizers, token filters, or char filters to be added to an index by taking the index offline for at least a few seconds. This temporarily causes indexing and query requests to fail. Performance and write availability of the index can be impaired for several minutes after the index is updated, or longer for very large indexes. ,
Required: False ,
}
boolean ,
x-ms-client-request-id:
{
Description: The tracking ID sent with the request to help with debugging. ,
Format: uuid ,
Required: False ,
}
string ,
If-Match:
{
Description: Defines the If-Match condition. The operation will be performed only if the ETag on the server matches this value. ,
Required: False ,
}
string ,
If-None-Match:
{
Description: Defines the If-None-Match condition. The operation will be performed only if the ETag on the server does not match this value. ,
Required: False ,
}
string ,
Prefer:
{
Description: For HTTP PUT requests, instructs the service to return the created/updated resource on success. ,
Required: True ,
}
string ,
api-version:
{
Description: Client Api Version. ,
Required: True ,
}
string ,
}

⚐ Response (200)

{
name:
{
Description: The name of the index. ,
Required: True ,
}
string ,
description:
{
Description: The description of the index. ,
Required: False ,
}
string ,
fields:
{
Description: The fields of the index. ,
Required: True ,
}
[
{
name:
{
Description: The name of the field, which must be unique within the fields collection of the index or parent field. ,
Required: True ,
}
string ,
type:
{
Description: The data type of the field. ,
Enum:
{
Edm.String: Indicates that a field contains a string. ,
Edm.Int32: Indicates that a field contains a 32-bit signed integer. ,
Edm.Int64: Indicates that a field contains a 64-bit signed integer. ,
Edm.Double: Indicates that a field contains an IEEE double-precision floating point number. ,
Edm.Boolean: Indicates that a field contains a Boolean value (true or false). ,
Edm.DateTimeOffset: Indicates that a field contains a date/time value, including timezone information. ,
Edm.GeographyPoint: Indicates that a field contains a geo-location in terms of longitude and latitude. ,
Edm.ComplexType: Indicates that a field contains one or more complex objects that in turn have sub-fields of other types. ,
Edm.Single: Indicates that a field contains a single-precision floating point number. This is only valid when used with Collection(Edm.Single). ,
Edm.Half: Indicates that a field contains a half-precision floating point number. This is only valid when used with Collection(Edm.Half). ,
Edm.Int16: Indicates that a field contains a 16-bit signed integer. This is only valid when used with Collection(Edm.Int16). ,
Edm.SByte: Indicates that a field contains a 8-bit signed integer. This is only valid when used with Collection(Edm.SByte). ,
Edm.Byte: Indicates that a field contains a 8-bit unsigned integer. This is only valid when used with Collection(Edm.Byte). ,
}
,
Required: True ,
}
enum ,
key:
{
Description: A value indicating whether the field uniquely identifies documents in the index. Exactly one top-level field in each index must be chosen as the key field and it must be of type Edm.String. Key fields can be used to look up documents directly and update or delete specific documents. Default is false for simple fields and null for complex fields. ,
Required: False ,
}
boolean ,
retrievable:
{
Description: A value indicating whether the field can be returned in a search result. You can disable this option if you want to use a field (for example, margin) as a filter, sorting, or scoring mechanism but do not want the field to be visible to the end user. This property must be true for key fields, and it must be null for complex fields. This property can be changed on existing fields. Enabling this property does not cause any increase in index storage requirements. Default is true for simple fields, false for vector fields, and null for complex fields. ,
Required: False ,
}
boolean ,
stored:
{
Description: An immutable value indicating whether the field will be persisted separately on disk to be returned in a search result. You can disable this option if you don't plan to return the field contents in a search response to save on storage overhead. This can only be set during index creation and only for vector fields. This property cannot be changed for existing fields or set as false for new fields. If this property is set as false, the property 'retrievable' must also be set to false. This property must be true or unset for key fields, for new fields, and for non-vector fields, and it must be null for complex fields. Disabling this property will reduce index storage requirements. The default is true for vector fields. ,
Required: False ,
}
boolean ,
searchable:
{
Description: A value indicating whether the field is full-text searchable. This means it will undergo analysis such as word-breaking during indexing. If you set a searchable field to a value like "sunny day", internally it will be split into the individual tokens "sunny" and "day". This enables full-text searches for these terms. Fields of type Edm.String or Collection(Edm.String) are searchable by default. This property must be false for simple fields of other non-string data types, and it must be null for complex fields. Note: searchable fields consume extra space in your index to accommodate additional tokenized versions of the field value for full-text searches. If you want to save space in your index and you don't need a field to be included in searches, set searchable to false. ,
Required: False ,
}
boolean ,
filterable:
{
Description: A value indicating whether to enable the field to be referenced in $filter queries. filterable differs from searchable in how strings are handled. Fields of type Edm.String or Collection(Edm.String) that are filterable do not undergo word-breaking, so comparisons are for exact matches only. For example, if you set such a field f to "sunny day", $filter=f eq 'sunny' will find no matches, but $filter=f eq 'sunny day' will. This property must be null for complex fields. Default is true for simple fields and null for complex fields. ,
Required: False ,
}
boolean ,
sortable:
{
Description: A value indicating whether to enable the field to be referenced in $orderby expressions. By default, the search engine sorts results by score, but in many experiences users will want to sort by fields in the documents. A simple field can be sortable only if it is single-valued (it has a single value in the scope of the parent document). Simple collection fields cannot be sortable, since they are multi-valued. Simple sub-fields of complex collections are also multi-valued, and therefore cannot be sortable. This is true whether it's an immediate parent field, or an ancestor field, that's the complex collection. Complex fields cannot be sortable and the sortable property must be null for such fields. The default for sortable is true for single-valued simple fields, false for multi-valued simple fields, and null for complex fields. ,
Required: False ,
}
boolean ,
facetable:
{
Description: A value indicating whether to enable the field to be referenced in facet queries. Typically used in a presentation of search results that includes hit count by category (for example, search for digital cameras and see hits by brand, by megapixels, by price, and so on). This property must be null for complex fields. Fields of type Edm.GeographyPoint or Collection(Edm.GeographyPoint) cannot be facetable. Default is true for all other simple fields. ,
Required: False ,
}
boolean ,
analyzer:
{
Description: The name of the analyzer to use for the field. This option can be used only with searchable fields and it can't be set together with either searchAnalyzer or indexAnalyzer. Once the analyzer is chosen, it cannot be changed for the field. Must be null for complex fields. ,
Enum:
{
ar.microsoft: Microsoft analyzer for Arabic. ,
ar.lucene: Lucene analyzer for Arabic. ,
hy.lucene: Lucene analyzer for Armenian. ,
bn.microsoft: Microsoft analyzer for Bangla. ,
eu.lucene: Lucene analyzer for Basque. ,
bg.microsoft: Microsoft analyzer for Bulgarian. ,
bg.lucene: Lucene analyzer for Bulgarian. ,
ca.microsoft: Microsoft analyzer for Catalan. ,
ca.lucene: Lucene analyzer for Catalan. ,
zh-Hans.microsoft: Microsoft analyzer for Chinese (Simplified). ,
zh-Hans.lucene: Lucene analyzer for Chinese (Simplified). ,
zh-Hant.microsoft: Microsoft analyzer for Chinese (Traditional). ,
zh-Hant.lucene: Lucene analyzer for Chinese (Traditional). ,
hr.microsoft: Microsoft analyzer for Croatian. ,
cs.microsoft: Microsoft analyzer for Czech. ,
cs.lucene: Lucene analyzer for Czech. ,
da.microsoft: Microsoft analyzer for Danish. ,
da.lucene: Lucene analyzer for Danish. ,
nl.microsoft: Microsoft analyzer for Dutch. ,
nl.lucene: Lucene analyzer for Dutch. ,
en.microsoft: Microsoft analyzer for English. ,
en.lucene: Lucene analyzer for English. ,
et.microsoft: Microsoft analyzer for Estonian. ,
fi.microsoft: Microsoft analyzer for Finnish. ,
fi.lucene: Lucene analyzer for Finnish. ,
fr.microsoft: Microsoft analyzer for French. ,
fr.lucene: Lucene analyzer for French. ,
gl.lucene: Lucene analyzer for Galician. ,
de.microsoft: Microsoft analyzer for German. ,
de.lucene: Lucene analyzer for German. ,
el.microsoft: Microsoft analyzer for Greek. ,
el.lucene: Lucene analyzer for Greek. ,
gu.microsoft: Microsoft analyzer for Gujarati. ,
he.microsoft: Microsoft analyzer for Hebrew. ,
hi.microsoft: Microsoft analyzer for Hindi. ,
hi.lucene: Lucene analyzer for Hindi. ,
hu.microsoft: Microsoft analyzer for Hungarian. ,
hu.lucene: Lucene analyzer for Hungarian. ,
is.microsoft: Microsoft analyzer for Icelandic. ,
id.microsoft: Microsoft analyzer for Indonesian (Bahasa). ,
id.lucene: Lucene analyzer for Indonesian. ,
ga.lucene: Lucene analyzer for Irish. ,
it.microsoft: Microsoft analyzer for Italian. ,
it.lucene: Lucene analyzer for Italian. ,
ja.microsoft: Microsoft analyzer for Japanese. ,
ja.lucene: Lucene analyzer for Japanese. ,
kn.microsoft: Microsoft analyzer for Kannada. ,
ko.microsoft: Microsoft analyzer for Korean. ,
ko.lucene: Lucene analyzer for Korean. ,
lv.microsoft: Microsoft analyzer for Latvian. ,
lv.lucene: Lucene analyzer for Latvian. ,
lt.microsoft: Microsoft analyzer for Lithuanian. ,
ml.microsoft: Microsoft analyzer for Malayalam. ,
ms.microsoft: Microsoft analyzer for Malay (Latin). ,
mr.microsoft: Microsoft analyzer for Marathi. ,
nb.microsoft: Microsoft analyzer for Norwegian (Bokmål). ,
no.lucene: Lucene analyzer for Norwegian. ,
fa.lucene: Lucene analyzer for Persian. ,
pl.microsoft: Microsoft analyzer for Polish. ,
pl.lucene: Lucene analyzer for Polish. ,
pt-BR.microsoft: Microsoft analyzer for Portuguese (Brazil). ,
pt-BR.lucene: Lucene analyzer for Portuguese (Brazil). ,
pt-PT.microsoft: Microsoft analyzer for Portuguese (Portugal). ,
pt-PT.lucene: Lucene analyzer for Portuguese (Portugal). ,
pa.microsoft: Microsoft analyzer for Punjabi. ,
ro.microsoft: Microsoft analyzer for Romanian. ,
ro.lucene: Lucene analyzer for Romanian. ,
ru.microsoft: Microsoft analyzer for Russian. ,
ru.lucene: Lucene analyzer for Russian. ,
sr-cyrillic.microsoft: Microsoft analyzer for Serbian (Cyrillic). ,
sr-latin.microsoft: Microsoft analyzer for Serbian (Latin). ,
sk.microsoft: Microsoft analyzer for Slovak. ,
sl.microsoft: Microsoft analyzer for Slovenian. ,
es.microsoft: Microsoft analyzer for Spanish. ,
es.lucene: Lucene analyzer for Spanish. ,
sv.microsoft: Microsoft analyzer for Swedish. ,
sv.lucene: Lucene analyzer for Swedish. ,
ta.microsoft: Microsoft analyzer for Tamil. ,
te.microsoft: Microsoft analyzer for Telugu. ,
th.microsoft: Microsoft analyzer for Thai. ,
th.lucene: Lucene analyzer for Thai. ,
tr.microsoft: Microsoft analyzer for Turkish. ,
tr.lucene: Lucene analyzer for Turkish. ,
uk.microsoft: Microsoft analyzer for Ukrainian. ,
ur.microsoft: Microsoft analyzer for Urdu. ,
vi.microsoft: Microsoft analyzer for Vietnamese. ,
standard.lucene: Standard Lucene analyzer. ,
standardasciifolding.lucene: Standard ASCII Folding Lucene analyzer. See https://learn.microsoft.com/rest/api/searchservice/Custom-analyzers-in-Azure-Search#Analyzers ,
keyword: Treats the entire content of a field as a single token. This is useful for data like zip codes, ids, and some product names. See http://lucene.apache.org/core/4_10_3/analyzers-common/org/apache/lucene/analysis/core/KeywordAnalyzer.html ,
pattern: Flexibly separates text into terms via a regular expression pattern. See http://lucene.apache.org/core/4_10_3/analyzers-common/org/apache/lucene/analysis/miscellaneous/PatternAnalyzer.html ,
simple: Divides text at non-letters and converts them to lower case. See http://lucene.apache.org/core/4_10_3/analyzers-common/org/apache/lucene/analysis/core/SimpleAnalyzer.html ,
stop: Divides text at non-letters; Applies the lowercase and stopword token filters. See http://lucene.apache.org/core/4_10_3/analyzers-common/org/apache/lucene/analysis/core/StopAnalyzer.html ,
whitespace: An analyzer that uses the whitespace tokenizer. See http://lucene.apache.org/core/4_10_3/analyzers-common/org/apache/lucene/analysis/core/WhitespaceAnalyzer.html ,
}
,
Required: False ,
}
enum ,
searchAnalyzer:
{
Description: The name of the analyzer used at search time for the field. This option can be used only with searchable fields. It must be set together with indexAnalyzer and it cannot be set together with the analyzer option. This property cannot be set to the name of a language analyzer; use the analyzer property instead if you need a language analyzer. This analyzer can be updated on an existing field. Must be null for complex fields. ,
Enum:
{
ar.microsoft: Microsoft analyzer for Arabic. ,
ar.lucene: Lucene analyzer for Arabic. ,
hy.lucene: Lucene analyzer for Armenian. ,
bn.microsoft: Microsoft analyzer for Bangla. ,
eu.lucene: Lucene analyzer for Basque. ,
bg.microsoft: Microsoft analyzer for Bulgarian. ,
bg.lucene: Lucene analyzer for Bulgarian. ,
ca.microsoft: Microsoft analyzer for Catalan. ,
ca.lucene: Lucene analyzer for Catalan. ,
zh-Hans.microsoft: Microsoft analyzer for Chinese (Simplified). ,
zh-Hans.lucene: Lucene analyzer for Chinese (Simplified). ,
zh-Hant.microsoft: Microsoft analyzer for Chinese (Traditional). ,
zh-Hant.lucene: Lucene analyzer for Chinese (Traditional). ,
hr.microsoft: Microsoft analyzer for Croatian. ,
cs.microsoft: Microsoft analyzer for Czech. ,
cs.lucene: Lucene analyzer for Czech. ,
da.microsoft: Microsoft analyzer for Danish. ,
da.lucene: Lucene analyzer for Danish. ,
nl.microsoft: Microsoft analyzer for Dutch. ,
nl.lucene: Lucene analyzer for Dutch. ,
en.microsoft: Microsoft analyzer for English. ,
en.lucene: Lucene analyzer for English. ,
et.microsoft: Microsoft analyzer for Estonian. ,
fi.microsoft: Microsoft analyzer for Finnish. ,
fi.lucene: Lucene analyzer for Finnish. ,
fr.microsoft: Microsoft analyzer for French. ,
fr.lucene: Lucene analyzer for French. ,
gl.lucene: Lucene analyzer for Galician. ,
de.microsoft: Microsoft analyzer for German. ,
de.lucene: Lucene analyzer for German. ,
el.microsoft: Microsoft analyzer for Greek. ,
el.lucene: Lucene analyzer for Greek. ,
gu.microsoft: Microsoft analyzer for Gujarati. ,
he.microsoft: Microsoft analyzer for Hebrew. ,
hi.microsoft: Microsoft analyzer for Hindi. ,
hi.lucene: Lucene analyzer for Hindi. ,
hu.microsoft: Microsoft analyzer for Hungarian. ,
hu.lucene: Lucene analyzer for Hungarian. ,
is.microsoft: Microsoft analyzer for Icelandic. ,
id.microsoft: Microsoft analyzer for Indonesian (Bahasa). ,
id.lucene: Lucene analyzer for Indonesian. ,
ga.lucene: Lucene analyzer for Irish. ,
it.microsoft: Microsoft analyzer for Italian. ,
it.lucene: Lucene analyzer for Italian. ,
ja.microsoft: Microsoft analyzer for Japanese. ,
ja.lucene: Lucene analyzer for Japanese. ,
kn.microsoft: Microsoft analyzer for Kannada. ,
ko.microsoft: Microsoft analyzer for Korean. ,
ko.lucene: Lucene analyzer for Korean. ,
lv.microsoft: Microsoft analyzer for Latvian. ,
lv.lucene: Lucene analyzer for Latvian. ,
lt.microsoft: Microsoft analyzer for Lithuanian. ,
ml.microsoft: Microsoft analyzer for Malayalam. ,
ms.microsoft: Microsoft analyzer for Malay (Latin). ,
mr.microsoft: Microsoft analyzer for Marathi. ,
nb.microsoft: Microsoft analyzer for Norwegian (Bokmål). ,
no.lucene: Lucene analyzer for Norwegian. ,
fa.lucene: Lucene analyzer for Persian. ,
pl.microsoft: Microsoft analyzer for Polish. ,
pl.lucene: Lucene analyzer for Polish. ,
pt-BR.microsoft: Microsoft analyzer for Portuguese (Brazil). ,
pt-BR.lucene: Lucene analyzer for Portuguese (Brazil). ,
pt-PT.microsoft: Microsoft analyzer for Portuguese (Portugal). ,
pt-PT.lucene: Lucene analyzer for Portuguese (Portugal). ,
pa.microsoft: Microsoft analyzer for Punjabi. ,
ro.microsoft: Microsoft analyzer for Romanian. ,
ro.lucene: Lucene analyzer for Romanian. ,
ru.microsoft: Microsoft analyzer for Russian. ,
ru.lucene: Lucene analyzer for Russian. ,
sr-cyrillic.microsoft: Microsoft analyzer for Serbian (Cyrillic). ,
sr-latin.microsoft: Microsoft analyzer for Serbian (Latin). ,
sk.microsoft: Microsoft analyzer for Slovak. ,
sl.microsoft: Microsoft analyzer for Slovenian. ,
es.microsoft: Microsoft analyzer for Spanish. ,
es.lucene: Lucene analyzer for Spanish. ,
sv.microsoft: Microsoft analyzer for Swedish. ,
sv.lucene: Lucene analyzer for Swedish. ,
ta.microsoft: Microsoft analyzer for Tamil. ,
te.microsoft: Microsoft analyzer for Telugu. ,
th.microsoft: Microsoft analyzer for Thai. ,
th.lucene: Lucene analyzer for Thai. ,
tr.microsoft: Microsoft analyzer for Turkish. ,
tr.lucene: Lucene analyzer for Turkish. ,
uk.microsoft: Microsoft analyzer for Ukrainian. ,
ur.microsoft: Microsoft analyzer for Urdu. ,
vi.microsoft: Microsoft analyzer for Vietnamese. ,
standard.lucene: Standard Lucene analyzer. ,
standardasciifolding.lucene: Standard ASCII Folding Lucene analyzer. See https://learn.microsoft.com/rest/api/searchservice/Custom-analyzers-in-Azure-Search#Analyzers ,
keyword: Treats the entire content of a field as a single token. This is useful for data like zip codes, ids, and some product names. See http://lucene.apache.org/core/4_10_3/analyzers-common/org/apache/lucene/analysis/core/KeywordAnalyzer.html ,
pattern: Flexibly separates text into terms via a regular expression pattern. See http://lucene.apache.org/core/4_10_3/analyzers-common/org/apache/lucene/analysis/miscellaneous/PatternAnalyzer.html ,
simple: Divides text at non-letters and converts them to lower case. See http://lucene.apache.org/core/4_10_3/analyzers-common/org/apache/lucene/analysis/core/SimpleAnalyzer.html ,
stop: Divides text at non-letters; Applies the lowercase and stopword token filters. See http://lucene.apache.org/core/4_10_3/analyzers-common/org/apache/lucene/analysis/core/StopAnalyzer.html ,
whitespace: An analyzer that uses the whitespace tokenizer. See http://lucene.apache.org/core/4_10_3/analyzers-common/org/apache/lucene/analysis/core/WhitespaceAnalyzer.html ,
}
,
Required: False ,
}
enum ,
indexAnalyzer:
{
Description: The name of the analyzer used at indexing time for the field. This option can be used only with searchable fields. It must be set together with searchAnalyzer and it cannot be set together with the analyzer option. This property cannot be set to the name of a language analyzer; use the analyzer property instead if you need a language analyzer. Once the analyzer is chosen, it cannot be changed for the field. Must be null for complex fields. ,
Enum:
{
ar.microsoft: Microsoft analyzer for Arabic. ,
ar.lucene: Lucene analyzer for Arabic. ,
hy.lucene: Lucene analyzer for Armenian. ,
bn.microsoft: Microsoft analyzer for Bangla. ,
eu.lucene: Lucene analyzer for Basque. ,
bg.microsoft: Microsoft analyzer for Bulgarian. ,
bg.lucene: Lucene analyzer for Bulgarian. ,
ca.microsoft: Microsoft analyzer for Catalan. ,
ca.lucene: Lucene analyzer for Catalan. ,
zh-Hans.microsoft: Microsoft analyzer for Chinese (Simplified). ,
zh-Hans.lucene: Lucene analyzer for Chinese (Simplified). ,
zh-Hant.microsoft: Microsoft analyzer for Chinese (Traditional). ,
zh-Hant.lucene: Lucene analyzer for Chinese (Traditional). ,
hr.microsoft: Microsoft analyzer for Croatian. ,
cs.microsoft: Microsoft analyzer for Czech. ,
cs.lucene: Lucene analyzer for Czech. ,
da.microsoft: Microsoft analyzer for Danish. ,
da.lucene: Lucene analyzer for Danish. ,
nl.microsoft: Microsoft analyzer for Dutch. ,
nl.lucene: Lucene analyzer for Dutch. ,
en.microsoft: Microsoft analyzer for English. ,
en.lucene: Lucene analyzer for English. ,
et.microsoft: Microsoft analyzer for Estonian. ,
fi.microsoft: Microsoft analyzer for Finnish. ,
fi.lucene: Lucene analyzer for Finnish. ,
fr.microsoft: Microsoft analyzer for French. ,
fr.lucene: Lucene analyzer for French. ,
gl.lucene: Lucene analyzer for Galician. ,
de.microsoft: Microsoft analyzer for German. ,
de.lucene: Lucene analyzer for German. ,
el.microsoft: Microsoft analyzer for Greek. ,
el.lucene: Lucene analyzer for Greek. ,
gu.microsoft: Microsoft analyzer for Gujarati. ,
he.microsoft: Microsoft analyzer for Hebrew. ,
hi.microsoft: Microsoft analyzer for Hindi. ,
hi.lucene: Lucene analyzer for Hindi. ,
hu.microsoft: Microsoft analyzer for Hungarian. ,
hu.lucene: Lucene analyzer for Hungarian. ,
is.microsoft: Microsoft analyzer for Icelandic. ,
id.microsoft: Microsoft analyzer for Indonesian (Bahasa). ,
id.lucene: Lucene analyzer for Indonesian. ,
ga.lucene: Lucene analyzer for Irish. ,
it.microsoft: Microsoft analyzer for Italian. ,
it.lucene: Lucene analyzer for Italian. ,
ja.microsoft: Microsoft analyzer for Japanese. ,
ja.lucene: Lucene analyzer for Japanese. ,
kn.microsoft: Microsoft analyzer for Kannada. ,
ko.microsoft: Microsoft analyzer for Korean. ,
ko.lucene: Lucene analyzer for Korean. ,
lv.microsoft: Microsoft analyzer for Latvian. ,
lv.lucene: Lucene analyzer for Latvian. ,
lt.microsoft: Microsoft analyzer for Lithuanian. ,
ml.microsoft: Microsoft analyzer for Malayalam. ,
ms.microsoft: Microsoft analyzer for Malay (Latin). ,
mr.microsoft: Microsoft analyzer for Marathi. ,
nb.microsoft: Microsoft analyzer for Norwegian (Bokmål). ,
no.lucene: Lucene analyzer for Norwegian. ,
fa.lucene: Lucene analyzer for Persian. ,
pl.microsoft: Microsoft analyzer for Polish. ,
pl.lucene: Lucene analyzer for Polish. ,
pt-BR.microsoft: Microsoft analyzer for Portuguese (Brazil). ,
pt-BR.lucene: Lucene analyzer for Portuguese (Brazil). ,
pt-PT.microsoft: Microsoft analyzer for Portuguese (Portugal). ,
pt-PT.lucene: Lucene analyzer for Portuguese (Portugal). ,
pa.microsoft: Microsoft analyzer for Punjabi. ,
ro.microsoft: Microsoft analyzer for Romanian. ,
ro.lucene: Lucene analyzer for Romanian. ,
ru.microsoft: Microsoft analyzer for Russian. ,
ru.lucene: Lucene analyzer for Russian. ,
sr-cyrillic.microsoft: Microsoft analyzer for Serbian (Cyrillic). ,
sr-latin.microsoft: Microsoft analyzer for Serbian (Latin). ,
sk.microsoft: Microsoft analyzer for Slovak. ,
sl.microsoft: Microsoft analyzer for Slovenian. ,
es.microsoft: Microsoft analyzer for Spanish. ,
es.lucene: Lucene analyzer for Spanish. ,
sv.microsoft: Microsoft analyzer for Swedish. ,
sv.lucene: Lucene analyzer for Swedish. ,
ta.microsoft: Microsoft analyzer for Tamil. ,
te.microsoft: Microsoft analyzer for Telugu. ,
th.microsoft: Microsoft analyzer for Thai. ,
th.lucene: Lucene analyzer for Thai. ,
tr.microsoft: Microsoft analyzer for Turkish. ,
tr.lucene: Lucene analyzer for Turkish. ,
uk.microsoft: Microsoft analyzer for Ukrainian. ,
ur.microsoft: Microsoft analyzer for Urdu. ,
vi.microsoft: Microsoft analyzer for Vietnamese. ,
standard.lucene: Standard Lucene analyzer. ,
standardasciifolding.lucene: Standard ASCII Folding Lucene analyzer. See https://learn.microsoft.com/rest/api/searchservice/Custom-analyzers-in-Azure-Search#Analyzers ,
keyword: Treats the entire content of a field as a single token. This is useful for data like zip codes, ids, and some product names. See http://lucene.apache.org/core/4_10_3/analyzers-common/org/apache/lucene/analysis/core/KeywordAnalyzer.html ,
pattern: Flexibly separates text into terms via a regular expression pattern. See http://lucene.apache.org/core/4_10_3/analyzers-common/org/apache/lucene/analysis/miscellaneous/PatternAnalyzer.html ,
simple: Divides text at non-letters and converts them to lower case. See http://lucene.apache.org/core/4_10_3/analyzers-common/org/apache/lucene/analysis/core/SimpleAnalyzer.html ,
stop: Divides text at non-letters; Applies the lowercase and stopword token filters. See http://lucene.apache.org/core/4_10_3/analyzers-common/org/apache/lucene/analysis/core/StopAnalyzer.html ,
whitespace: An analyzer that uses the whitespace tokenizer. See http://lucene.apache.org/core/4_10_3/analyzers-common/org/apache/lucene/analysis/core/WhitespaceAnalyzer.html ,
}
,
Required: False ,
}
enum ,
normalizer:
{
Description: The name of the normalizer to use for the field. This option can be used only with fields with filterable, sortable, or facetable enabled. Once the normalizer is chosen, it cannot be changed for the field. Must be null for complex fields. ,
Enum:
{
asciifolding: Converts alphabetic, numeric, and symbolic Unicode characters which are not in the first 127 ASCII characters (the "Basic Latin" Unicode block) into their ASCII equivalents, if such equivalents exist. See http://lucene.apache.org/core/4_10_3/analyzers-common/org/apache/lucene/analysis/miscellaneous/ASCIIFoldingFilter.html ,
elision: Removes elisions. For example, "l'avion" (the plane) will be converted to "avion" (plane). See http://lucene.apache.org/core/4_10_3/analyzers-common/org/apache/lucene/analysis/util/ElisionFilter.html ,
lowercase: Normalizes token text to lowercase. See https://lucene.apache.org/core/6_6_1/analyzers-common/org/apache/lucene/analysis/core/LowerCaseFilter.html ,
standard: Standard normalizer, which consists of lowercase and asciifolding. See http://lucene.apache.org/core/4_10_3/analyzers-common/org/apache/lucene/analysis/reverse/ReverseStringFilter.html ,
uppercase: Normalizes token text to uppercase. See https://lucene.apache.org/core/6_6_1/analyzers-common/org/apache/lucene/analysis/core/UpperCaseFilter.html ,
}
,
Required: False ,
}
enum ,
dimensions:
{
Description: The dimensionality of the vector field. ,
Format: int32 ,
Required: False ,
}
integer ,
vectorSearchProfile:
{
Description: The name of the vector search profile that specifies the algorithm and vectorizer to use when searching the vector field. ,
Required: False ,
}
string ,
vectorEncoding:
{
Description: The encoding format to interpret the field contents. ,
Enum:
{
packedBit: Encoding format representing bits packed into a wider data type. ,
}
,
Required: False ,
}
enum ,
synonymMaps:
{
Description: A list of the names of synonym maps to associate with this field. This option can be used only with searchable fields. Currently only one synonym map per field is supported. Assigning a synonym map to a field ensures that query terms targeting that field are expanded at query-time using the rules in the synonym map. This attribute can be changed on existing fields. Must be null or an empty collection for complex fields. ,
Required: False ,
}
[
string ,
]
,
fields:
{
Description: A list of sub-fields if this is a field of type Edm.ComplexType or Collection(Edm.ComplexType). Must be null or empty for simple fields. ,
Required: False ,
}
[
string ,
]
,
}
,
]
,
scoringProfiles:
{
Description: The scoring profiles for the index. ,
Required: False ,
}
[
{
name:
{
Description: The name of the scoring profile. ,
Required: True ,
}
string ,
text:
{
Description: Parameters that boost scoring based on text matches in certain index fields. ,
Required: False ,
}
{
weights:
{
Description: The dictionary of per-field weights to boost document scoring. The keys are field names and the values are the weights for each field. ,
Required: True ,
}
object ,
}
,
functions:
{
Description: The collection of functions that influence the scoring of documents. ,
Required: False ,
}
[
{
type:
{
Description: Indicates the type of function to use. Valid values include magnitude, freshness, distance, and tag. The function type must be lower case. ,
Required: True ,
}
string ,
fieldName:
{
Description: The name of the field used as input to the scoring function. ,
Required: True ,
}
string ,
boost:
{
Description: A multiplier for the raw score. Must be a positive number not equal to 1.0. ,
Format: double ,
Required: True ,
}
number ,
interpolation:
{
Description: A value indicating how boosting will be interpolated across document scores; defaults to "Linear". ,
Enum:
{
linear: Boosts scores by a linearly decreasing amount. This is the default interpolation for scoring functions. ,
constant: Boosts scores by a constant factor. ,
quadratic: Boosts scores by an amount that decreases quadratically. Boosts decrease slowly for higher scores, and more quickly as the scores decrease. This interpolation option is not allowed in tag scoring functions. ,
logarithmic: Boosts scores by an amount that decreases logarithmically. Boosts decrease quickly for higher scores, and more slowly as the scores decrease. This interpolation option is not allowed in tag scoring functions. ,
}
,
Required: False ,
}
enum ,
}
,
]
,
functionAggregation:
{
Description: A value indicating how the results of individual scoring functions should be combined. Defaults to "Sum". Ignored if there are no scoring functions. ,
Enum:
{
sum: Boost scores by the sum of all scoring function results. ,
average: Boost scores by the average of all scoring function results. ,
minimum: Boost scores by the minimum of all scoring function results. ,
maximum: Boost scores by the maximum of all scoring function results. ,
firstMatching: Boost scores using the first applicable scoring function in the scoring profile. ,
}
,
Required: False ,
}
enum ,
}
,
]
,
defaultScoringProfile:
{
Description: The name of the scoring profile to use if none is specified in the query. If this property is not set and no scoring profile is specified in the query, then default scoring (tf-idf) will be used. ,
Required: False ,
}
string ,
corsOptions:
{
Description: Options to control Cross-Origin Resource Sharing (CORS) for the index. ,
Required: False ,
}
{
allowedOrigins:
{
Description: The list of origins from which JavaScript code will be granted access to your index. Can contain a list of hosts of the form {protocol}://{fully-qualified-domain-name}[:{port#}], or a single '*' to allow all origins (not recommended). ,
Required: True ,
}
[
string ,
]
,
maxAgeInSeconds:
{
Description: The duration for which browsers should cache CORS preflight responses. Defaults to 5 minutes. ,
Format: int64 ,
Required: False ,
}
integer ,
}
,
suggesters:
{
Description: The suggesters for the index. ,
Required: False ,
}
[
{
name:
{
Description: The name of the suggester. ,
Required: True ,
}
string ,
searchMode:
{
Description: A value indicating the capabilities of the suggester. ,
Enum:
{
analyzingInfixMatching: Matches consecutive whole terms and prefixes in a field. For example, for the field 'The fastest brown fox', the queries 'fast' and 'fastest brow' would both match. ,
}
,
Required: True ,
}
enum ,
sourceFields:
{
Description: The list of field names to which the suggester applies. Each field must be searchable. ,
Required: True ,
}
[
string ,
]
,
}
,
]
,
analyzers:
{
Description: The analyzers for the index. ,
Required: False ,
}
[
{
@odata.type:
{
Description: A URI fragment specifying the type of analyzer. ,
Required: True ,
}
string ,
name:
{
Description: The name of the analyzer. It must only contain letters, digits, spaces, dashes or underscores, can only start and end with alphanumeric characters, and is limited to 128 characters. ,
Required: True ,
}
string ,
}
,
]
,
tokenizers:
{
Description: The tokenizers for the index. ,
Required: False ,
}
[
{
@odata.type:
{
Description: A URI fragment specifying the type of tokenizer. ,
Required: True ,
}
string ,
name:
{
Description: The name of the tokenizer. It must only contain letters, digits, spaces, dashes or underscores, can only start and end with alphanumeric characters, and is limited to 128 characters. ,
Required: True ,
}
string ,
}
,
]
,
tokenFilters:
{
Description: The token filters for the index. ,
Required: False ,
}
[
{
@odata.type:
{
Description: A URI fragment specifying the type of token filter. ,
Required: True ,
}
string ,
name:
{
Description: The name of the token filter. It must only contain letters, digits, spaces, dashes or underscores, can only start and end with alphanumeric characters, and is limited to 128 characters. ,
Required: True ,
}
string ,
}
,
]
,
charFilters:
{
Description: The character filters for the index. ,
Required: False ,
}
[
{
@odata.type:
{
Description: A URI fragment specifying the type of char filter. ,
Required: True ,
}
string ,
name:
{
Description: The name of the char filter. It must only contain letters, digits, spaces, dashes or underscores, can only start and end with alphanumeric characters, and is limited to 128 characters. ,
Required: True ,
}
string ,
}
,
]
,
normalizers:
{
Description: The normalizers for the index. ,
Required: False ,
}
[
{
@odata.type:
{
Description: A URI fragment specifying the type of normalizer. ,
Required: True ,
}
string ,
name:
{
Description: The name of the normalizer. It must only contain letters, digits, spaces, dashes or underscores, can only start and end with alphanumeric characters, and is limited to 128 characters. It cannot end in '.microsoft' nor '.lucene', nor be named 'asciifolding', 'standard', 'lowercase', 'uppercase', or 'elision'. ,
Required: True ,
}
string ,
}
,
]
,
encryptionKey:
{
Description: A description of an encryption key that you create in Azure Key Vault. This key is used to provide an additional level of encryption-at-rest for your data when you want full assurance that no one, not even Microsoft, can decrypt your data. Once you have encrypted your data, it will always remain encrypted. The search service will ignore attempts to set this property to null. You can change this property as needed if you want to rotate your encryption key; Your data will be unaffected. Encryption with customer-managed keys is not available for free search services, and is only available for paid services created on or after January 1, 2019. ,
Required: False ,
}
{
keyVaultKeyName:
{
Description: The name of your Azure Key Vault key to be used to encrypt your data at rest. ,
Required: True ,
}
string ,
keyVaultKeyVersion:
{
Description: The version of your Azure Key Vault key to be used to encrypt your data at rest. ,
Required: True ,
}
string ,
keyVaultUri:
{
Description: The URI of your Azure Key Vault, also referred to as DNS name, that contains the key to be used to encrypt your data at rest. An example URI might be `https://my-keyvault-name.vault.azure.net`. ,
Required: True ,
}
string ,
accessCredentials:
{
Description: Optional Azure Active Directory credentials used for accessing your Azure Key Vault. Not required if using managed identity instead. ,
Required: False ,
}
{
applicationId:
{
Description: An AAD Application ID that was granted the required access permissions to the Azure Key Vault that is to be used when encrypting your data at rest. The Application ID should not be confused with the Object ID for your AAD Application. ,
Required: True ,
}
string ,
applicationSecret:
{
Description: The authentication key of the specified AAD application. ,
Required: False ,
}
string ,
}
,
}
,
similarity:
{
Description: The type of similarity algorithm to be used when scoring and ranking the documents matching a search query. The similarity algorithm can only be defined at index creation time and cannot be modified on existing indexes. If null, the ClassicSimilarity algorithm is used. ,
Required: False ,
}
{
@odata.type:
{
Required: True ,
}
string ,
}
,
semantic:
{
Description: Defines parameters for a search index that influence semantic capabilities. ,
Required: False ,
}
{
defaultConfiguration:
{
Description: Allows you to set the name of a default semantic configuration in your index, making it optional to pass it on as a query parameter every time. ,
Required: False ,
}
string ,
configurations:
{
Description: The semantic configurations for the index. ,
Required: False ,
}
[
{
name:
{
Description: The name of the semantic configuration. ,
Required: True ,
}
string ,
prioritizedFields:
{
Description: Describes the title, content, and keyword fields to be used for semantic ranking, captions, highlights, and answers. At least one of the three sub properties (titleField, prioritizedKeywordsFields and prioritizedContentFields) need to be set. ,
Required: True ,
}
{
titleField:
{
Description: Defines the title field to be used for semantic ranking, captions, highlights, and answers. If you don't have a title field in your index, leave this blank. ,
Required: False ,
}
{
fieldName:
{
Required: True ,
}
string ,
}
,
prioritizedContentFields:
{
Description: Defines the content fields to be used for semantic ranking, captions, highlights, and answers. For the best result, the selected fields should contain text in natural language form. The order of the fields in the array represents their priority. Fields with lower priority may get truncated if the content is long. ,
Required: False ,
}
[
{
fieldName:
{
Required: True ,
}
string ,
}
,
]
,
prioritizedKeywordsFields:
{
Description: Defines the keyword fields to be used for semantic ranking, captions, highlights, and answers. For the best result, the selected fields should contain a list of keywords. The order of the fields in the array represents their priority. Fields with lower priority may get truncated if the content is long. ,
Required: False ,
}
[
{
fieldName:
{
Required: True ,
}
string ,
}
,
]
,
}
,
rankingOrder:
{
Description: Specifies the score type to be used for the sort order of the search results. ,
Enum:
{
BoostedRerankerScore: Sets sort order as BoostedRerankerScore ,
RerankerScore: Sets sort order as ReRankerScore ,
}
,
Required: False ,
}
enum ,
}
,
]
,
}
,
vectorSearch:
{
Description: Contains configuration options related to vector search. ,
Required: False ,
}
{
profiles:
{
Description: Defines combinations of configurations to use with vector search. ,
Required: False ,
}
[
{
name:
{
Description: The name to associate with this particular vector search profile. ,
Required: True ,
}
string ,
algorithm:
{
Description: The name of the vector search algorithm configuration that specifies the algorithm and optional parameters. ,
Required: True ,
}
string ,
vectorizer:
{
Description: The name of the vectorization being configured for use with vector search. ,
Required: False ,
}
string ,
compression:
{
Description: The name of the compression method configuration that specifies the compression method and optional parameters. ,
Required: False ,
}
string ,
}
,
]
,
algorithms:
{
Description: Contains configuration options specific to the algorithm used during indexing or querying. ,
Required: False ,
}
[
{
name:
{
Description: The name to associate with this particular configuration. ,
Required: True ,
}
string ,
kind:
{
Description: The name of the kind of algorithm being configured for use with vector search. ,
Enum:
{
hnsw: HNSW (Hierarchical Navigable Small World), a type of approximate nearest neighbors algorithm. ,
exhaustiveKnn: Exhaustive KNN algorithm which will perform brute-force search. ,
}
,
Required: True ,
}
enum ,
}
,
]
,
vectorizers:
{
Description: Contains configuration options on how to vectorize text vector queries. ,
Required: False ,
}
[
{
name:
{
Description: The name to associate with this particular vectorization method. ,
Required: True ,
}
string ,
kind:
{
Description: The name of the kind of vectorization method being configured for use with vector search. ,
Enum:
{
azureOpenAI: Generate embeddings using an Azure OpenAI resource at query time. ,
customWebApi: Generate embeddings using a custom web endpoint at query time. ,
}
,
Required: True ,
}
enum ,
}
,
]
,
compressions:
{
Description: Contains configuration options specific to the compression method used during indexing or querying. ,
Required: False ,
}
[
{
name:
{
Description: The name to associate with this particular configuration. ,
Required: True ,
}
string ,
kind:
{
Description: The name of the kind of compression method being configured for use with vector search. ,
Enum:
{
scalarQuantization: Scalar Quantization, a type of compression method. In scalar quantization, the original vectors values are compressed to a narrower type by discretizing and representing each component of a vector using a reduced set of quantized values, thereby reducing the overall data size. ,
binaryQuantization: Binary Quantization, a type of compression method. In binary quantization, the original vectors values are compressed to the narrower binary type by discretizing and representing each component of a vector using binary values, thereby reducing the overall data size. ,
}
,
Required: True ,
}
enum ,
rescoringOptions:
{
Description: Contains the options for rescoring. ,
Required: False ,
}
{
enableRescoring:
{
Description: If set to true, after the initial search on the compressed vectors, the similarity scores are recalculated using the full-precision vectors. This will improve recall at the expense of latency. ,
Required: False ,
}
boolean ,
defaultOversampling:
{
Description: Default oversampling factor. Oversampling retrieves a greater set of potential documents to offset the resolution loss due to quantization. This increases the set of results that will be rescored on full-precision vectors. Minimum value is 1, meaning no oversampling (1x). This parameter can only be set when 'enableRescoring' is true. Higher values improve recall at the expense of latency. ,
Format: double ,
Required: False ,
}
number ,
rescoreStorageMethod:
{
Description: Controls the storage method for original vectors. This setting is immutable. ,
Enum:
{
preserveOriginals: This option preserves the original full-precision vectors. Choose this option for maximum flexibility and highest quality of compressed search results. This consumes more storage but allows for rescoring and oversampling. ,
discardOriginals: This option discards the original full-precision vectors. Choose this option for maximum storage savings. Since this option does not allow for rescoring and oversampling, it will often cause slight to moderate reductions in quality. ,
}
,
Required: False ,
}
enum ,
}
,
truncationDimension:
{
Description: The number of dimensions to truncate the vectors to. Truncating the vectors reduces the size of the vectors and the amount of data that needs to be transferred during search. This can save storage cost and improve search performance at the expense of recall. It should be only used for embeddings trained with Matryoshka Representation Learning (MRL) such as OpenAI text-embedding-3-large (small). The default value is null, which means no truncation. ,
Format: int32 ,
Required: False ,
}
integer ,
}
,
]
,
}
,
@odata.etag:
{
Description: The ETag of the index. ,
Required: False ,
}
string ,
}

⚐ Response (201)

{
name:
{
Description: The name of the index. ,
Required: True ,
}
string ,
description:
{
Description: The description of the index. ,
Required: False ,
}
string ,
fields:
{
Description: The fields of the index. ,
Required: True ,
}
[
{
name:
{
Description: The name of the field, which must be unique within the fields collection of the index or parent field. ,
Required: True ,
}
string ,
type:
{
Description: The data type of the field. ,
Enum:
{
Edm.String: Indicates that a field contains a string. ,
Edm.Int32: Indicates that a field contains a 32-bit signed integer. ,
Edm.Int64: Indicates that a field contains a 64-bit signed integer. ,
Edm.Double: Indicates that a field contains an IEEE double-precision floating point number. ,
Edm.Boolean: Indicates that a field contains a Boolean value (true or false). ,
Edm.DateTimeOffset: Indicates that a field contains a date/time value, including timezone information. ,
Edm.GeographyPoint: Indicates that a field contains a geo-location in terms of longitude and latitude. ,
Edm.ComplexType: Indicates that a field contains one or more complex objects that in turn have sub-fields of other types. ,
Edm.Single: Indicates that a field contains a single-precision floating point number. This is only valid when used with Collection(Edm.Single). ,
Edm.Half: Indicates that a field contains a half-precision floating point number. This is only valid when used with Collection(Edm.Half). ,
Edm.Int16: Indicates that a field contains a 16-bit signed integer. This is only valid when used with Collection(Edm.Int16). ,
Edm.SByte: Indicates that a field contains a 8-bit signed integer. This is only valid when used with Collection(Edm.SByte). ,
Edm.Byte: Indicates that a field contains a 8-bit unsigned integer. This is only valid when used with Collection(Edm.Byte). ,
}
,
Required: True ,
}
enum ,
key:
{
Description: A value indicating whether the field uniquely identifies documents in the index. Exactly one top-level field in each index must be chosen as the key field and it must be of type Edm.String. Key fields can be used to look up documents directly and update or delete specific documents. Default is false for simple fields and null for complex fields. ,
Required: False ,
}
boolean ,
retrievable:
{
Description: A value indicating whether the field can be returned in a search result. You can disable this option if you want to use a field (for example, margin) as a filter, sorting, or scoring mechanism but do not want the field to be visible to the end user. This property must be true for key fields, and it must be null for complex fields. This property can be changed on existing fields. Enabling this property does not cause any increase in index storage requirements. Default is true for simple fields, false for vector fields, and null for complex fields. ,
Required: False ,
}
boolean ,
stored:
{
Description: An immutable value indicating whether the field will be persisted separately on disk to be returned in a search result. You can disable this option if you don't plan to return the field contents in a search response to save on storage overhead. This can only be set during index creation and only for vector fields. This property cannot be changed for existing fields or set as false for new fields. If this property is set as false, the property 'retrievable' must also be set to false. This property must be true or unset for key fields, for new fields, and for non-vector fields, and it must be null for complex fields. Disabling this property will reduce index storage requirements. The default is true for vector fields. ,
Required: False ,
}
boolean ,
searchable:
{
Description: A value indicating whether the field is full-text searchable. This means it will undergo analysis such as word-breaking during indexing. If you set a searchable field to a value like "sunny day", internally it will be split into the individual tokens "sunny" and "day". This enables full-text searches for these terms. Fields of type Edm.String or Collection(Edm.String) are searchable by default. This property must be false for simple fields of other non-string data types, and it must be null for complex fields. Note: searchable fields consume extra space in your index to accommodate additional tokenized versions of the field value for full-text searches. If you want to save space in your index and you don't need a field to be included in searches, set searchable to false. ,
Required: False ,
}
boolean ,
filterable:
{
Description: A value indicating whether to enable the field to be referenced in $filter queries. filterable differs from searchable in how strings are handled. Fields of type Edm.String or Collection(Edm.String) that are filterable do not undergo word-breaking, so comparisons are for exact matches only. For example, if you set such a field f to "sunny day", $filter=f eq 'sunny' will find no matches, but $filter=f eq 'sunny day' will. This property must be null for complex fields. Default is true for simple fields and null for complex fields. ,
Required: False ,
}
boolean ,
sortable:
{
Description: A value indicating whether to enable the field to be referenced in $orderby expressions. By default, the search engine sorts results by score, but in many experiences users will want to sort by fields in the documents. A simple field can be sortable only if it is single-valued (it has a single value in the scope of the parent document). Simple collection fields cannot be sortable, since they are multi-valued. Simple sub-fields of complex collections are also multi-valued, and therefore cannot be sortable. This is true whether it's an immediate parent field, or an ancestor field, that's the complex collection. Complex fields cannot be sortable and the sortable property must be null for such fields. The default for sortable is true for single-valued simple fields, false for multi-valued simple fields, and null for complex fields. ,
Required: False ,
}
boolean ,
facetable:
{
Description: A value indicating whether to enable the field to be referenced in facet queries. Typically used in a presentation of search results that includes hit count by category (for example, search for digital cameras and see hits by brand, by megapixels, by price, and so on). This property must be null for complex fields. Fields of type Edm.GeographyPoint or Collection(Edm.GeographyPoint) cannot be facetable. Default is true for all other simple fields. ,
Required: False ,
}
boolean ,
analyzer:
{
Description: The name of the analyzer to use for the field. This option can be used only with searchable fields and it can't be set together with either searchAnalyzer or indexAnalyzer. Once the analyzer is chosen, it cannot be changed for the field. Must be null for complex fields. ,
Enum:
{
ar.microsoft: Microsoft analyzer for Arabic. ,
ar.lucene: Lucene analyzer for Arabic. ,
hy.lucene: Lucene analyzer for Armenian. ,
bn.microsoft: Microsoft analyzer for Bangla. ,
eu.lucene: Lucene analyzer for Basque. ,
bg.microsoft: Microsoft analyzer for Bulgarian. ,
bg.lucene: Lucene analyzer for Bulgarian. ,
ca.microsoft: Microsoft analyzer for Catalan. ,
ca.lucene: Lucene analyzer for Catalan. ,
zh-Hans.microsoft: Microsoft analyzer for Chinese (Simplified). ,
zh-Hans.lucene: Lucene analyzer for Chinese (Simplified). ,
zh-Hant.microsoft: Microsoft analyzer for Chinese (Traditional). ,
zh-Hant.lucene: Lucene analyzer for Chinese (Traditional). ,
hr.microsoft: Microsoft analyzer for Croatian. ,
cs.microsoft: Microsoft analyzer for Czech. ,
cs.lucene: Lucene analyzer for Czech. ,
da.microsoft: Microsoft analyzer for Danish. ,
da.lucene: Lucene analyzer for Danish. ,
nl.microsoft: Microsoft analyzer for Dutch. ,
nl.lucene: Lucene analyzer for Dutch. ,
en.microsoft: Microsoft analyzer for English. ,
en.lucene: Lucene analyzer for English. ,
et.microsoft: Microsoft analyzer for Estonian. ,
fi.microsoft: Microsoft analyzer for Finnish. ,
fi.lucene: Lucene analyzer for Finnish. ,
fr.microsoft: Microsoft analyzer for French. ,
fr.lucene: Lucene analyzer for French. ,
gl.lucene: Lucene analyzer for Galician. ,
de.microsoft: Microsoft analyzer for German. ,
de.lucene: Lucene analyzer for German. ,
el.microsoft: Microsoft analyzer for Greek. ,
el.lucene: Lucene analyzer for Greek. ,
gu.microsoft: Microsoft analyzer for Gujarati. ,
he.microsoft: Microsoft analyzer for Hebrew. ,
hi.microsoft: Microsoft analyzer for Hindi. ,
hi.lucene: Lucene analyzer for Hindi. ,
hu.microsoft: Microsoft analyzer for Hungarian. ,
hu.lucene: Lucene analyzer for Hungarian. ,
is.microsoft: Microsoft analyzer for Icelandic. ,
id.microsoft: Microsoft analyzer for Indonesian (Bahasa). ,
id.lucene: Lucene analyzer for Indonesian. ,
ga.lucene: Lucene analyzer for Irish. ,
it.microsoft: Microsoft analyzer for Italian. ,
it.lucene: Lucene analyzer for Italian. ,
ja.microsoft: Microsoft analyzer for Japanese. ,
ja.lucene: Lucene analyzer for Japanese. ,
kn.microsoft: Microsoft analyzer for Kannada. ,
ko.microsoft: Microsoft analyzer for Korean. ,
ko.lucene: Lucene analyzer for Korean. ,
lv.microsoft: Microsoft analyzer for Latvian. ,
lv.lucene: Lucene analyzer for Latvian. ,
lt.microsoft: Microsoft analyzer for Lithuanian. ,
ml.microsoft: Microsoft analyzer for Malayalam. ,
ms.microsoft: Microsoft analyzer for Malay (Latin). ,
mr.microsoft: Microsoft analyzer for Marathi. ,
nb.microsoft: Microsoft analyzer for Norwegian (Bokmål). ,
no.lucene: Lucene analyzer for Norwegian. ,
fa.lucene: Lucene analyzer for Persian. ,
pl.microsoft: Microsoft analyzer for Polish. ,
pl.lucene: Lucene analyzer for Polish. ,
pt-BR.microsoft: Microsoft analyzer for Portuguese (Brazil). ,
pt-BR.lucene: Lucene analyzer for Portuguese (Brazil). ,
pt-PT.microsoft: Microsoft analyzer for Portuguese (Portugal). ,
pt-PT.lucene: Lucene analyzer for Portuguese (Portugal). ,
pa.microsoft: Microsoft analyzer for Punjabi. ,
ro.microsoft: Microsoft analyzer for Romanian. ,
ro.lucene: Lucene analyzer for Romanian. ,
ru.microsoft: Microsoft analyzer for Russian. ,
ru.lucene: Lucene analyzer for Russian. ,
sr-cyrillic.microsoft: Microsoft analyzer for Serbian (Cyrillic). ,
sr-latin.microsoft: Microsoft analyzer for Serbian (Latin). ,
sk.microsoft: Microsoft analyzer for Slovak. ,
sl.microsoft: Microsoft analyzer for Slovenian. ,
es.microsoft: Microsoft analyzer for Spanish. ,
es.lucene: Lucene analyzer for Spanish. ,
sv.microsoft: Microsoft analyzer for Swedish. ,
sv.lucene: Lucene analyzer for Swedish. ,
ta.microsoft: Microsoft analyzer for Tamil. ,
te.microsoft: Microsoft analyzer for Telugu. ,
th.microsoft: Microsoft analyzer for Thai. ,
th.lucene: Lucene analyzer for Thai. ,
tr.microsoft: Microsoft analyzer for Turkish. ,
tr.lucene: Lucene analyzer for Turkish. ,
uk.microsoft: Microsoft analyzer for Ukrainian. ,
ur.microsoft: Microsoft analyzer for Urdu. ,
vi.microsoft: Microsoft analyzer for Vietnamese. ,
standard.lucene: Standard Lucene analyzer. ,
standardasciifolding.lucene: Standard ASCII Folding Lucene analyzer. See https://learn.microsoft.com/rest/api/searchservice/Custom-analyzers-in-Azure-Search#Analyzers ,
keyword: Treats the entire content of a field as a single token. This is useful for data like zip codes, ids, and some product names. See http://lucene.apache.org/core/4_10_3/analyzers-common/org/apache/lucene/analysis/core/KeywordAnalyzer.html ,
pattern: Flexibly separates text into terms via a regular expression pattern. See http://lucene.apache.org/core/4_10_3/analyzers-common/org/apache/lucene/analysis/miscellaneous/PatternAnalyzer.html ,
simple: Divides text at non-letters and converts them to lower case. See http://lucene.apache.org/core/4_10_3/analyzers-common/org/apache/lucene/analysis/core/SimpleAnalyzer.html ,
stop: Divides text at non-letters; Applies the lowercase and stopword token filters. See http://lucene.apache.org/core/4_10_3/analyzers-common/org/apache/lucene/analysis/core/StopAnalyzer.html ,
whitespace: An analyzer that uses the whitespace tokenizer. See http://lucene.apache.org/core/4_10_3/analyzers-common/org/apache/lucene/analysis/core/WhitespaceAnalyzer.html ,
}
,
Required: False ,
}
enum ,
searchAnalyzer:
{
Description: The name of the analyzer used at search time for the field. This option can be used only with searchable fields. It must be set together with indexAnalyzer and it cannot be set together with the analyzer option. This property cannot be set to the name of a language analyzer; use the analyzer property instead if you need a language analyzer. This analyzer can be updated on an existing field. Must be null for complex fields. ,
Enum:
{
ar.microsoft: Microsoft analyzer for Arabic. ,
ar.lucene: Lucene analyzer for Arabic. ,
hy.lucene: Lucene analyzer for Armenian. ,
bn.microsoft: Microsoft analyzer for Bangla. ,
eu.lucene: Lucene analyzer for Basque. ,
bg.microsoft: Microsoft analyzer for Bulgarian. ,
bg.lucene: Lucene analyzer for Bulgarian. ,
ca.microsoft: Microsoft analyzer for Catalan. ,
ca.lucene: Lucene analyzer for Catalan. ,
zh-Hans.microsoft: Microsoft analyzer for Chinese (Simplified). ,
zh-Hans.lucene: Lucene analyzer for Chinese (Simplified). ,
zh-Hant.microsoft: Microsoft analyzer for Chinese (Traditional). ,
zh-Hant.lucene: Lucene analyzer for Chinese (Traditional). ,
hr.microsoft: Microsoft analyzer for Croatian. ,
cs.microsoft: Microsoft analyzer for Czech. ,
cs.lucene: Lucene analyzer for Czech. ,
da.microsoft: Microsoft analyzer for Danish. ,
da.lucene: Lucene analyzer for Danish. ,
nl.microsoft: Microsoft analyzer for Dutch. ,
nl.lucene: Lucene analyzer for Dutch. ,
en.microsoft: Microsoft analyzer for English. ,
en.lucene: Lucene analyzer for English. ,
et.microsoft: Microsoft analyzer for Estonian. ,
fi.microsoft: Microsoft analyzer for Finnish. ,
fi.lucene: Lucene analyzer for Finnish. ,
fr.microsoft: Microsoft analyzer for French. ,
fr.lucene: Lucene analyzer for French. ,
gl.lucene: Lucene analyzer for Galician. ,
de.microsoft: Microsoft analyzer for German. ,
de.lucene: Lucene analyzer for German. ,
el.microsoft: Microsoft analyzer for Greek. ,
el.lucene: Lucene analyzer for Greek. ,
gu.microsoft: Microsoft analyzer for Gujarati. ,
he.microsoft: Microsoft analyzer for Hebrew. ,
hi.microsoft: Microsoft analyzer for Hindi. ,
hi.lucene: Lucene analyzer for Hindi. ,
hu.microsoft: Microsoft analyzer for Hungarian. ,
hu.lucene: Lucene analyzer for Hungarian. ,
is.microsoft: Microsoft analyzer for Icelandic. ,
id.microsoft: Microsoft analyzer for Indonesian (Bahasa). ,
id.lucene: Lucene analyzer for Indonesian. ,
ga.lucene: Lucene analyzer for Irish. ,
it.microsoft: Microsoft analyzer for Italian. ,
it.lucene: Lucene analyzer for Italian. ,
ja.microsoft: Microsoft analyzer for Japanese. ,
ja.lucene: Lucene analyzer for Japanese. ,
kn.microsoft: Microsoft analyzer for Kannada. ,
ko.microsoft: Microsoft analyzer for Korean. ,
ko.lucene: Lucene analyzer for Korean. ,
lv.microsoft: Microsoft analyzer for Latvian. ,
lv.lucene: Lucene analyzer for Latvian. ,
lt.microsoft: Microsoft analyzer for Lithuanian. ,
ml.microsoft: Microsoft analyzer for Malayalam. ,
ms.microsoft: Microsoft analyzer for Malay (Latin). ,
mr.microsoft: Microsoft analyzer for Marathi. ,
nb.microsoft: Microsoft analyzer for Norwegian (Bokmål). ,
no.lucene: Lucene analyzer for Norwegian. ,
fa.lucene: Lucene analyzer for Persian. ,
pl.microsoft: Microsoft analyzer for Polish. ,
pl.lucene: Lucene analyzer for Polish. ,
pt-BR.microsoft: Microsoft analyzer for Portuguese (Brazil). ,
pt-BR.lucene: Lucene analyzer for Portuguese (Brazil). ,
pt-PT.microsoft: Microsoft analyzer for Portuguese (Portugal). ,
pt-PT.lucene: Lucene analyzer for Portuguese (Portugal). ,
pa.microsoft: Microsoft analyzer for Punjabi. ,
ro.microsoft: Microsoft analyzer for Romanian. ,
ro.lucene: Lucene analyzer for Romanian. ,
ru.microsoft: Microsoft analyzer for Russian. ,
ru.lucene: Lucene analyzer for Russian. ,
sr-cyrillic.microsoft: Microsoft analyzer for Serbian (Cyrillic). ,
sr-latin.microsoft: Microsoft analyzer for Serbian (Latin). ,
sk.microsoft: Microsoft analyzer for Slovak. ,
sl.microsoft: Microsoft analyzer for Slovenian. ,
es.microsoft: Microsoft analyzer for Spanish. ,
es.lucene: Lucene analyzer for Spanish. ,
sv.microsoft: Microsoft analyzer for Swedish. ,
sv.lucene: Lucene analyzer for Swedish. ,
ta.microsoft: Microsoft analyzer for Tamil. ,
te.microsoft: Microsoft analyzer for Telugu. ,
th.microsoft: Microsoft analyzer for Thai. ,
th.lucene: Lucene analyzer for Thai. ,
tr.microsoft: Microsoft analyzer for Turkish. ,
tr.lucene: Lucene analyzer for Turkish. ,
uk.microsoft: Microsoft analyzer for Ukrainian. ,
ur.microsoft: Microsoft analyzer for Urdu. ,
vi.microsoft: Microsoft analyzer for Vietnamese. ,
standard.lucene: Standard Lucene analyzer. ,
standardasciifolding.lucene: Standard ASCII Folding Lucene analyzer. See https://learn.microsoft.com/rest/api/searchservice/Custom-analyzers-in-Azure-Search#Analyzers ,
keyword: Treats the entire content of a field as a single token. This is useful for data like zip codes, ids, and some product names. See http://lucene.apache.org/core/4_10_3/analyzers-common/org/apache/lucene/analysis/core/KeywordAnalyzer.html ,
pattern: Flexibly separates text into terms via a regular expression pattern. See http://lucene.apache.org/core/4_10_3/analyzers-common/org/apache/lucene/analysis/miscellaneous/PatternAnalyzer.html ,
simple: Divides text at non-letters and converts them to lower case. See http://lucene.apache.org/core/4_10_3/analyzers-common/org/apache/lucene/analysis/core/SimpleAnalyzer.html ,
stop: Divides text at non-letters; Applies the lowercase and stopword token filters. See http://lucene.apache.org/core/4_10_3/analyzers-common/org/apache/lucene/analysis/core/StopAnalyzer.html ,
whitespace: An analyzer that uses the whitespace tokenizer. See http://lucene.apache.org/core/4_10_3/analyzers-common/org/apache/lucene/analysis/core/WhitespaceAnalyzer.html ,
}
,
Required: False ,
}
enum ,
indexAnalyzer:
{
Description: The name of the analyzer used at indexing time for the field. This option can be used only with searchable fields. It must be set together with searchAnalyzer and it cannot be set together with the analyzer option. This property cannot be set to the name of a language analyzer; use the analyzer property instead if you need a language analyzer. Once the analyzer is chosen, it cannot be changed for the field. Must be null for complex fields. ,
Enum:
{
ar.microsoft: Microsoft analyzer for Arabic. ,
ar.lucene: Lucene analyzer for Arabic. ,
hy.lucene: Lucene analyzer for Armenian. ,
bn.microsoft: Microsoft analyzer for Bangla. ,
eu.lucene: Lucene analyzer for Basque. ,
bg.microsoft: Microsoft analyzer for Bulgarian. ,
bg.lucene: Lucene analyzer for Bulgarian. ,
ca.microsoft: Microsoft analyzer for Catalan. ,
ca.lucene: Lucene analyzer for Catalan. ,
zh-Hans.microsoft: Microsoft analyzer for Chinese (Simplified). ,
zh-Hans.lucene: Lucene analyzer for Chinese (Simplified). ,
zh-Hant.microsoft: Microsoft analyzer for Chinese (Traditional). ,
zh-Hant.lucene: Lucene analyzer for Chinese (Traditional). ,
hr.microsoft: Microsoft analyzer for Croatian. ,
cs.microsoft: Microsoft analyzer for Czech. ,
cs.lucene: Lucene analyzer for Czech. ,
da.microsoft: Microsoft analyzer for Danish. ,
da.lucene: Lucene analyzer for Danish. ,
nl.microsoft: Microsoft analyzer for Dutch. ,
nl.lucene: Lucene analyzer for Dutch. ,
en.microsoft: Microsoft analyzer for English. ,
en.lucene: Lucene analyzer for English. ,
et.microsoft: Microsoft analyzer for Estonian. ,
fi.microsoft: Microsoft analyzer for Finnish. ,
fi.lucene: Lucene analyzer for Finnish. ,
fr.microsoft: Microsoft analyzer for French. ,
fr.lucene: Lucene analyzer for French. ,
gl.lucene: Lucene analyzer for Galician. ,
de.microsoft: Microsoft analyzer for German. ,
de.lucene: Lucene analyzer for German. ,
el.microsoft: Microsoft analyzer for Greek. ,
el.lucene: Lucene analyzer for Greek. ,
gu.microsoft: Microsoft analyzer for Gujarati. ,
he.microsoft: Microsoft analyzer for Hebrew. ,
hi.microsoft: Microsoft analyzer for Hindi. ,
hi.lucene: Lucene analyzer for Hindi. ,
hu.microsoft: Microsoft analyzer for Hungarian. ,
hu.lucene: Lucene analyzer for Hungarian. ,
is.microsoft: Microsoft analyzer for Icelandic. ,
id.microsoft: Microsoft analyzer for Indonesian (Bahasa). ,
id.lucene: Lucene analyzer for Indonesian. ,
ga.lucene: Lucene analyzer for Irish. ,
it.microsoft: Microsoft analyzer for Italian. ,
it.lucene: Lucene analyzer for Italian. ,
ja.microsoft: Microsoft analyzer for Japanese. ,
ja.lucene: Lucene analyzer for Japanese. ,
kn.microsoft: Microsoft analyzer for Kannada. ,
ko.microsoft: Microsoft analyzer for Korean. ,
ko.lucene: Lucene analyzer for Korean. ,
lv.microsoft: Microsoft analyzer for Latvian. ,
lv.lucene: Lucene analyzer for Latvian. ,
lt.microsoft: Microsoft analyzer for Lithuanian. ,
ml.microsoft: Microsoft analyzer for Malayalam. ,
ms.microsoft: Microsoft analyzer for Malay (Latin). ,
mr.microsoft: Microsoft analyzer for Marathi. ,
nb.microsoft: Microsoft analyzer for Norwegian (Bokmål). ,
no.lucene: Lucene analyzer for Norwegian. ,
fa.lucene: Lucene analyzer for Persian. ,
pl.microsoft: Microsoft analyzer for Polish. ,
pl.lucene: Lucene analyzer for Polish. ,
pt-BR.microsoft: Microsoft analyzer for Portuguese (Brazil). ,
pt-BR.lucene: Lucene analyzer for Portuguese (Brazil). ,
pt-PT.microsoft: Microsoft analyzer for Portuguese (Portugal). ,
pt-PT.lucene: Lucene analyzer for Portuguese (Portugal). ,
pa.microsoft: Microsoft analyzer for Punjabi. ,
ro.microsoft: Microsoft analyzer for Romanian. ,
ro.lucene: Lucene analyzer for Romanian. ,
ru.microsoft: Microsoft analyzer for Russian. ,
ru.lucene: Lucene analyzer for Russian. ,
sr-cyrillic.microsoft: Microsoft analyzer for Serbian (Cyrillic). ,
sr-latin.microsoft: Microsoft analyzer for Serbian (Latin). ,
sk.microsoft: Microsoft analyzer for Slovak. ,
sl.microsoft: Microsoft analyzer for Slovenian. ,
es.microsoft: Microsoft analyzer for Spanish. ,
es.lucene: Lucene analyzer for Spanish. ,
sv.microsoft: Microsoft analyzer for Swedish. ,
sv.lucene: Lucene analyzer for Swedish. ,
ta.microsoft: Microsoft analyzer for Tamil. ,
te.microsoft: Microsoft analyzer for Telugu. ,
th.microsoft: Microsoft analyzer for Thai. ,
th.lucene: Lucene analyzer for Thai. ,
tr.microsoft: Microsoft analyzer for Turkish. ,
tr.lucene: Lucene analyzer for Turkish. ,
uk.microsoft: Microsoft analyzer for Ukrainian. ,
ur.microsoft: Microsoft analyzer for Urdu. ,
vi.microsoft: Microsoft analyzer for Vietnamese. ,
standard.lucene: Standard Lucene analyzer. ,
standardasciifolding.lucene: Standard ASCII Folding Lucene analyzer. See https://learn.microsoft.com/rest/api/searchservice/Custom-analyzers-in-Azure-Search#Analyzers ,
keyword: Treats the entire content of a field as a single token. This is useful for data like zip codes, ids, and some product names. See http://lucene.apache.org/core/4_10_3/analyzers-common/org/apache/lucene/analysis/core/KeywordAnalyzer.html ,
pattern: Flexibly separates text into terms via a regular expression pattern. See http://lucene.apache.org/core/4_10_3/analyzers-common/org/apache/lucene/analysis/miscellaneous/PatternAnalyzer.html ,
simple: Divides text at non-letters and converts them to lower case. See http://lucene.apache.org/core/4_10_3/analyzers-common/org/apache/lucene/analysis/core/SimpleAnalyzer.html ,
stop: Divides text at non-letters; Applies the lowercase and stopword token filters. See http://lucene.apache.org/core/4_10_3/analyzers-common/org/apache/lucene/analysis/core/StopAnalyzer.html ,
whitespace: An analyzer that uses the whitespace tokenizer. See http://lucene.apache.org/core/4_10_3/analyzers-common/org/apache/lucene/analysis/core/WhitespaceAnalyzer.html ,
}
,
Required: False ,
}
enum ,
normalizer:
{
Description: The name of the normalizer to use for the field. This option can be used only with fields with filterable, sortable, or facetable enabled. Once the normalizer is chosen, it cannot be changed for the field. Must be null for complex fields. ,
Enum:
{
asciifolding: Converts alphabetic, numeric, and symbolic Unicode characters which are not in the first 127 ASCII characters (the "Basic Latin" Unicode block) into their ASCII equivalents, if such equivalents exist. See http://lucene.apache.org/core/4_10_3/analyzers-common/org/apache/lucene/analysis/miscellaneous/ASCIIFoldingFilter.html ,
elision: Removes elisions. For example, "l'avion" (the plane) will be converted to "avion" (plane). See http://lucene.apache.org/core/4_10_3/analyzers-common/org/apache/lucene/analysis/util/ElisionFilter.html ,
lowercase: Normalizes token text to lowercase. See https://lucene.apache.org/core/6_6_1/analyzers-common/org/apache/lucene/analysis/core/LowerCaseFilter.html ,
standard: Standard normalizer, which consists of lowercase and asciifolding. See http://lucene.apache.org/core/4_10_3/analyzers-common/org/apache/lucene/analysis/reverse/ReverseStringFilter.html ,
uppercase: Normalizes token text to uppercase. See https://lucene.apache.org/core/6_6_1/analyzers-common/org/apache/lucene/analysis/core/UpperCaseFilter.html ,
}
,
Required: False ,
}
enum ,
dimensions:
{
Description: The dimensionality of the vector field. ,
Format: int32 ,
Required: False ,
}
integer ,
vectorSearchProfile:
{
Description: The name of the vector search profile that specifies the algorithm and vectorizer to use when searching the vector field. ,
Required: False ,
}
string ,
vectorEncoding:
{
Description: The encoding format to interpret the field contents. ,
Enum:
{
packedBit: Encoding format representing bits packed into a wider data type. ,
}
,
Required: False ,
}
enum ,
synonymMaps:
{
Description: A list of the names of synonym maps to associate with this field. This option can be used only with searchable fields. Currently only one synonym map per field is supported. Assigning a synonym map to a field ensures that query terms targeting that field are expanded at query-time using the rules in the synonym map. This attribute can be changed on existing fields. Must be null or an empty collection for complex fields. ,
Required: False ,
}
[
string ,
]
,
fields:
{
Description: A list of sub-fields if this is a field of type Edm.ComplexType or Collection(Edm.ComplexType). Must be null or empty for simple fields. ,
Required: False ,
}
[
string ,
]
,
}
,
]
,
scoringProfiles:
{
Description: The scoring profiles for the index. ,
Required: False ,
}
[
{
name:
{
Description: The name of the scoring profile. ,
Required: True ,
}
string ,
text:
{
Description: Parameters that boost scoring based on text matches in certain index fields. ,
Required: False ,
}
{
weights:
{
Description: The dictionary of per-field weights to boost document scoring. The keys are field names and the values are the weights for each field. ,
Required: True ,
}
object ,
}
,
functions:
{
Description: The collection of functions that influence the scoring of documents. ,
Required: False ,
}
[
{
type:
{
Description: Indicates the type of function to use. Valid values include magnitude, freshness, distance, and tag. The function type must be lower case. ,
Required: True ,
}
string ,
fieldName:
{
Description: The name of the field used as input to the scoring function. ,
Required: True ,
}
string ,
boost:
{
Description: A multiplier for the raw score. Must be a positive number not equal to 1.0. ,
Format: double ,
Required: True ,
}
number ,
interpolation:
{
Description: A value indicating how boosting will be interpolated across document scores; defaults to "Linear". ,
Enum:
{
linear: Boosts scores by a linearly decreasing amount. This is the default interpolation for scoring functions. ,
constant: Boosts scores by a constant factor. ,
quadratic: Boosts scores by an amount that decreases quadratically. Boosts decrease slowly for higher scores, and more quickly as the scores decrease. This interpolation option is not allowed in tag scoring functions. ,
logarithmic: Boosts scores by an amount that decreases logarithmically. Boosts decrease quickly for higher scores, and more slowly as the scores decrease. This interpolation option is not allowed in tag scoring functions. ,
}
,
Required: False ,
}
enum ,
}
,
]
,
functionAggregation:
{
Description: A value indicating how the results of individual scoring functions should be combined. Defaults to "Sum". Ignored if there are no scoring functions. ,
Enum:
{
sum: Boost scores by the sum of all scoring function results. ,
average: Boost scores by the average of all scoring function results. ,
minimum: Boost scores by the minimum of all scoring function results. ,
maximum: Boost scores by the maximum of all scoring function results. ,
firstMatching: Boost scores using the first applicable scoring function in the scoring profile. ,
}
,
Required: False ,
}
enum ,
}
,
]
,
defaultScoringProfile:
{
Description: The name of the scoring profile to use if none is specified in the query. If this property is not set and no scoring profile is specified in the query, then default scoring (tf-idf) will be used. ,
Required: False ,
}
string ,
corsOptions:
{
Description: Options to control Cross-Origin Resource Sharing (CORS) for the index. ,
Required: False ,
}
{
allowedOrigins:
{
Description: The list of origins from which JavaScript code will be granted access to your index. Can contain a list of hosts of the form {protocol}://{fully-qualified-domain-name}[:{port#}], or a single '*' to allow all origins (not recommended). ,
Required: True ,
}
[
string ,
]
,
maxAgeInSeconds:
{
Description: The duration for which browsers should cache CORS preflight responses. Defaults to 5 minutes. ,
Format: int64 ,
Required: False ,
}
integer ,
}
,
suggesters:
{
Description: The suggesters for the index. ,
Required: False ,
}
[
{
name:
{
Description: The name of the suggester. ,
Required: True ,
}
string ,
searchMode:
{
Description: A value indicating the capabilities of the suggester. ,
Enum:
{
analyzingInfixMatching: Matches consecutive whole terms and prefixes in a field. For example, for the field 'The fastest brown fox', the queries 'fast' and 'fastest brow' would both match. ,
}
,
Required: True ,
}
enum ,
sourceFields:
{
Description: The list of field names to which the suggester applies. Each field must be searchable. ,
Required: True ,
}
[
string ,
]
,
}
,
]
,
analyzers:
{
Description: The analyzers for the index. ,
Required: False ,
}
[
{
@odata.type:
{
Description: A URI fragment specifying the type of analyzer. ,
Required: True ,
}
string ,
name:
{
Description: The name of the analyzer. It must only contain letters, digits, spaces, dashes or underscores, can only start and end with alphanumeric characters, and is limited to 128 characters. ,
Required: True ,
}
string ,
}
,
]
,
tokenizers:
{
Description: The tokenizers for the index. ,
Required: False ,
}
[
{
@odata.type:
{
Description: A URI fragment specifying the type of tokenizer. ,
Required: True ,
}
string ,
name:
{
Description: The name of the tokenizer. It must only contain letters, digits, spaces, dashes or underscores, can only start and end with alphanumeric characters, and is limited to 128 characters. ,
Required: True ,
}
string ,
}
,
]
,
tokenFilters:
{
Description: The token filters for the index. ,
Required: False ,
}
[
{
@odata.type:
{
Description: A URI fragment specifying the type of token filter. ,
Required: True ,
}
string ,
name:
{
Description: The name of the token filter. It must only contain letters, digits, spaces, dashes or underscores, can only start and end with alphanumeric characters, and is limited to 128 characters. ,
Required: True ,
}
string ,
}
,
]
,
charFilters:
{
Description: The character filters for the index. ,
Required: False ,
}
[
{
@odata.type:
{
Description: A URI fragment specifying the type of char filter. ,
Required: True ,
}
string ,
name:
{
Description: The name of the char filter. It must only contain letters, digits, spaces, dashes or underscores, can only start and end with alphanumeric characters, and is limited to 128 characters. ,
Required: True ,
}
string ,
}
,
]
,
normalizers:
{
Description: The normalizers for the index. ,
Required: False ,
}
[
{
@odata.type:
{
Description: A URI fragment specifying the type of normalizer. ,
Required: True ,
}
string ,
name:
{
Description: The name of the normalizer. It must only contain letters, digits, spaces, dashes or underscores, can only start and end with alphanumeric characters, and is limited to 128 characters. It cannot end in '.microsoft' nor '.lucene', nor be named 'asciifolding', 'standard', 'lowercase', 'uppercase', or 'elision'. ,
Required: True ,
}
string ,
}
,
]
,
encryptionKey:
{
Description: A description of an encryption key that you create in Azure Key Vault. This key is used to provide an additional level of encryption-at-rest for your data when you want full assurance that no one, not even Microsoft, can decrypt your data. Once you have encrypted your data, it will always remain encrypted. The search service will ignore attempts to set this property to null. You can change this property as needed if you want to rotate your encryption key; Your data will be unaffected. Encryption with customer-managed keys is not available for free search services, and is only available for paid services created on or after January 1, 2019. ,
Required: False ,
}
{
keyVaultKeyName:
{
Description: The name of your Azure Key Vault key to be used to encrypt your data at rest. ,
Required: True ,
}
string ,
keyVaultKeyVersion:
{
Description: The version of your Azure Key Vault key to be used to encrypt your data at rest. ,
Required: True ,
}
string ,
keyVaultUri:
{
Description: The URI of your Azure Key Vault, also referred to as DNS name, that contains the key to be used to encrypt your data at rest. An example URI might be `https://my-keyvault-name.vault.azure.net`. ,
Required: True ,
}
string ,
accessCredentials:
{
Description: Optional Azure Active Directory credentials used for accessing your Azure Key Vault. Not required if using managed identity instead. ,
Required: False ,
}
{
applicationId:
{
Description: An AAD Application ID that was granted the required access permissions to the Azure Key Vault that is to be used when encrypting your data at rest. The Application ID should not be confused with the Object ID for your AAD Application. ,
Required: True ,
}
string ,
applicationSecret:
{
Description: The authentication key of the specified AAD application. ,
Required: False ,
}
string ,
}
,
}
,
similarity:
{
Description: The type of similarity algorithm to be used when scoring and ranking the documents matching a search query. The similarity algorithm can only be defined at index creation time and cannot be modified on existing indexes. If null, the ClassicSimilarity algorithm is used. ,
Required: False ,
}
{
@odata.type:
{
Required: True ,
}
string ,
}
,
semantic:
{
Description: Defines parameters for a search index that influence semantic capabilities. ,
Required: False ,
}
{
defaultConfiguration:
{
Description: Allows you to set the name of a default semantic configuration in your index, making it optional to pass it on as a query parameter every time. ,
Required: False ,
}
string ,
configurations:
{
Description: The semantic configurations for the index. ,
Required: False ,
}
[
{
name:
{
Description: The name of the semantic configuration. ,
Required: True ,
}
string ,
prioritizedFields:
{
Description: Describes the title, content, and keyword fields to be used for semantic ranking, captions, highlights, and answers. At least one of the three sub properties (titleField, prioritizedKeywordsFields and prioritizedContentFields) need to be set. ,
Required: True ,
}
{
titleField:
{
Description: Defines the title field to be used for semantic ranking, captions, highlights, and answers. If you don't have a title field in your index, leave this blank. ,
Required: False ,
}
{
fieldName:
{
Required: True ,
}
string ,
}
,
prioritizedContentFields:
{
Description: Defines the content fields to be used for semantic ranking, captions, highlights, and answers. For the best result, the selected fields should contain text in natural language form. The order of the fields in the array represents their priority. Fields with lower priority may get truncated if the content is long. ,
Required: False ,
}
[
{
fieldName:
{
Required: True ,
}
string ,
}
,
]
,
prioritizedKeywordsFields:
{
Description: Defines the keyword fields to be used for semantic ranking, captions, highlights, and answers. For the best result, the selected fields should contain a list of keywords. The order of the fields in the array represents their priority. Fields with lower priority may get truncated if the content is long. ,
Required: False ,
}
[
{
fieldName:
{
Required: True ,
}
string ,
}
,
]
,
}
,
rankingOrder:
{
Description: Specifies the score type to be used for the sort order of the search results. ,
Enum:
{
BoostedRerankerScore: Sets sort order as BoostedRerankerScore ,
RerankerScore: Sets sort order as ReRankerScore ,
}
,
Required: False ,
}
enum ,
}
,
]
,
}
,
vectorSearch:
{
Description: Contains configuration options related to vector search. ,
Required: False ,
}
{
profiles:
{
Description: Defines combinations of configurations to use with vector search. ,
Required: False ,
}
[
{
name:
{
Description: The name to associate with this particular vector search profile. ,
Required: True ,
}
string ,
algorithm:
{
Description: The name of the vector search algorithm configuration that specifies the algorithm and optional parameters. ,
Required: True ,
}
string ,
vectorizer:
{
Description: The name of the vectorization being configured for use with vector search. ,
Required: False ,
}
string ,
compression:
{
Description: The name of the compression method configuration that specifies the compression method and optional parameters. ,
Required: False ,
}
string ,
}
,
]
,
algorithms:
{
Description: Contains configuration options specific to the algorithm used during indexing or querying. ,
Required: False ,
}
[
{
name:
{
Description: The name to associate with this particular configuration. ,
Required: True ,
}
string ,
kind:
{
Description: The name of the kind of algorithm being configured for use with vector search. ,
Enum:
{
hnsw: HNSW (Hierarchical Navigable Small World), a type of approximate nearest neighbors algorithm. ,
exhaustiveKnn: Exhaustive KNN algorithm which will perform brute-force search. ,
}
,
Required: True ,
}
enum ,
}
,
]
,
vectorizers:
{
Description: Contains configuration options on how to vectorize text vector queries. ,
Required: False ,
}
[
{
name:
{
Description: The name to associate with this particular vectorization method. ,
Required: True ,
}
string ,
kind:
{
Description: The name of the kind of vectorization method being configured for use with vector search. ,
Enum:
{
azureOpenAI: Generate embeddings using an Azure OpenAI resource at query time. ,
customWebApi: Generate embeddings using a custom web endpoint at query time. ,
}
,
Required: True ,
}
enum ,
}
,
]
,
compressions:
{
Description: Contains configuration options specific to the compression method used during indexing or querying. ,
Required: False ,
}
[
{
name:
{
Description: The name to associate with this particular configuration. ,
Required: True ,
}
string ,
kind:
{
Description: The name of the kind of compression method being configured for use with vector search. ,
Enum:
{
scalarQuantization: Scalar Quantization, a type of compression method. In scalar quantization, the original vectors values are compressed to a narrower type by discretizing and representing each component of a vector using a reduced set of quantized values, thereby reducing the overall data size. ,
binaryQuantization: Binary Quantization, a type of compression method. In binary quantization, the original vectors values are compressed to the narrower binary type by discretizing and representing each component of a vector using binary values, thereby reducing the overall data size. ,
}
,
Required: True ,
}
enum ,
rescoringOptions:
{
Description: Contains the options for rescoring. ,
Required: False ,
}
{
enableRescoring:
{
Description: If set to true, after the initial search on the compressed vectors, the similarity scores are recalculated using the full-precision vectors. This will improve recall at the expense of latency. ,
Required: False ,
}
boolean ,
defaultOversampling:
{
Description: Default oversampling factor. Oversampling retrieves a greater set of potential documents to offset the resolution loss due to quantization. This increases the set of results that will be rescored on full-precision vectors. Minimum value is 1, meaning no oversampling (1x). This parameter can only be set when 'enableRescoring' is true. Higher values improve recall at the expense of latency. ,
Format: double ,
Required: False ,
}
number ,
rescoreStorageMethod:
{
Description: Controls the storage method for original vectors. This setting is immutable. ,
Enum:
{
preserveOriginals: This option preserves the original full-precision vectors. Choose this option for maximum flexibility and highest quality of compressed search results. This consumes more storage but allows for rescoring and oversampling. ,
discardOriginals: This option discards the original full-precision vectors. Choose this option for maximum storage savings. Since this option does not allow for rescoring and oversampling, it will often cause slight to moderate reductions in quality. ,
}
,
Required: False ,
}
enum ,
}
,
truncationDimension:
{
Description: The number of dimensions to truncate the vectors to. Truncating the vectors reduces the size of the vectors and the amount of data that needs to be transferred during search. This can save storage cost and improve search performance at the expense of recall. It should be only used for embeddings trained with Matryoshka Representation Learning (MRL) such as OpenAI text-embedding-3-large (small). The default value is null, which means no truncation. ,
Format: int32 ,
Required: False ,
}
integer ,
}
,
]
,
}
,
@odata.etag:
{
Description: The ETag of the index. ,
Required: False ,
}
string ,
}

⚐ Response (default)

{
error:
{
Description: The error object. ,
Required: False ,
}
{
code:
{
Description: The error code. ,
Required: False ,
}
string ,
message:
{
Description: The error message. ,
Required: False ,
}
string ,
target:
{
Description: The error target. ,
Required: False ,
}
string ,
details:
{
Description: The error details. ,
Required: False ,
}
[
string ,
]
,
additionalInfo:
{
Description: The error additional info. ,
Required: False ,
}
[
{
type:
{
Description: The additional info type. ,
Required: False ,
}
string ,
info:
{
Description: The additional info. ,
Required: False ,
}
object ,
}
,
]
,
}
,
}
Indexes_Delete (new)
Description :  Deletes a search index and all the documents it contains. This operation is permanent, with no recovery option. Make sure you have a master copy of your index definition, data ingestion code, and a backup of the primary data source in case you need to re-build the index.
Reference :  Link ¶

⚼ Request

DELETE:  /indexes('{indexName}')
{
indexName:
{
Description: The name of the index to delete. ,
Required: True ,
}
string ,
x-ms-client-request-id:
{
Description: The tracking ID sent with the request to help with debugging. ,
Format: uuid ,
Required: False ,
}
string ,
If-Match:
{
Description: Defines the If-Match condition. The operation will be performed only if the ETag on the server matches this value. ,
Required: False ,
}
string ,
If-None-Match:
{
Description: Defines the If-None-Match condition. The operation will be performed only if the ETag on the server does not match this value. ,
Required: False ,
}
string ,
api-version:
{
Description: Client Api Version. ,
Required: True ,
}
string ,
}

⚐ Response (204)

{}

⚐ Response (404)

{}

⚐ Response (default)

{
error:
{
Description: The error object. ,
Required: False ,
}
{
code:
{
Description: The error code. ,
Required: False ,
}
string ,
message:
{
Description: The error message. ,
Required: False ,
}
string ,
target:
{
Description: The error target. ,
Required: False ,
}
string ,
details:
{
Description: The error details. ,
Required: False ,
}
[
string ,
]
,
additionalInfo:
{
Description: The error additional info. ,
Required: False ,
}
[
{
type:
{
Description: The additional info type. ,
Required: False ,
}
string ,
info:
{
Description: The additional info. ,
Required: False ,
}
object ,
}
,
]
,
}
,
}
Indexes_Get (new)
Description :  Retrieves an index definition.
Reference :  Link ¶

⚼ Request

GET:  /indexes('{indexName}')
{
indexName:
{
Description: The name of the index to retrieve. ,
Required: True ,
}
string ,
x-ms-client-request-id:
{
Description: The tracking ID sent with the request to help with debugging. ,
Format: uuid ,
Required: False ,
}
string ,
api-version:
{
Description: Client Api Version. ,
Required: True ,
}
string ,
}

⚐ Response (200)

{
name:
{
Description: The name of the index. ,
Required: True ,
}
string ,
description:
{
Description: The description of the index. ,
Required: False ,
}
string ,
fields:
{
Description: The fields of the index. ,
Required: True ,
}
[
{
name:
{
Description: The name of the field, which must be unique within the fields collection of the index or parent field. ,
Required: True ,
}
string ,
type:
{
Description: The data type of the field. ,
Enum:
{
Edm.String: Indicates that a field contains a string. ,
Edm.Int32: Indicates that a field contains a 32-bit signed integer. ,
Edm.Int64: Indicates that a field contains a 64-bit signed integer. ,
Edm.Double: Indicates that a field contains an IEEE double-precision floating point number. ,
Edm.Boolean: Indicates that a field contains a Boolean value (true or false). ,
Edm.DateTimeOffset: Indicates that a field contains a date/time value, including timezone information. ,
Edm.GeographyPoint: Indicates that a field contains a geo-location in terms of longitude and latitude. ,
Edm.ComplexType: Indicates that a field contains one or more complex objects that in turn have sub-fields of other types. ,
Edm.Single: Indicates that a field contains a single-precision floating point number. This is only valid when used with Collection(Edm.Single). ,
Edm.Half: Indicates that a field contains a half-precision floating point number. This is only valid when used with Collection(Edm.Half). ,
Edm.Int16: Indicates that a field contains a 16-bit signed integer. This is only valid when used with Collection(Edm.Int16). ,
Edm.SByte: Indicates that a field contains a 8-bit signed integer. This is only valid when used with Collection(Edm.SByte). ,
Edm.Byte: Indicates that a field contains a 8-bit unsigned integer. This is only valid when used with Collection(Edm.Byte). ,
}
,
Required: True ,
}
enum ,
key:
{
Description: A value indicating whether the field uniquely identifies documents in the index. Exactly one top-level field in each index must be chosen as the key field and it must be of type Edm.String. Key fields can be used to look up documents directly and update or delete specific documents. Default is false for simple fields and null for complex fields. ,
Required: False ,
}
boolean ,
retrievable:
{
Description: A value indicating whether the field can be returned in a search result. You can disable this option if you want to use a field (for example, margin) as a filter, sorting, or scoring mechanism but do not want the field to be visible to the end user. This property must be true for key fields, and it must be null for complex fields. This property can be changed on existing fields. Enabling this property does not cause any increase in index storage requirements. Default is true for simple fields, false for vector fields, and null for complex fields. ,
Required: False ,
}
boolean ,
stored:
{
Description: An immutable value indicating whether the field will be persisted separately on disk to be returned in a search result. You can disable this option if you don't plan to return the field contents in a search response to save on storage overhead. This can only be set during index creation and only for vector fields. This property cannot be changed for existing fields or set as false for new fields. If this property is set as false, the property 'retrievable' must also be set to false. This property must be true or unset for key fields, for new fields, and for non-vector fields, and it must be null for complex fields. Disabling this property will reduce index storage requirements. The default is true for vector fields. ,
Required: False ,
}
boolean ,
searchable:
{
Description: A value indicating whether the field is full-text searchable. This means it will undergo analysis such as word-breaking during indexing. If you set a searchable field to a value like "sunny day", internally it will be split into the individual tokens "sunny" and "day". This enables full-text searches for these terms. Fields of type Edm.String or Collection(Edm.String) are searchable by default. This property must be false for simple fields of other non-string data types, and it must be null for complex fields. Note: searchable fields consume extra space in your index to accommodate additional tokenized versions of the field value for full-text searches. If you want to save space in your index and you don't need a field to be included in searches, set searchable to false. ,
Required: False ,
}
boolean ,
filterable:
{
Description: A value indicating whether to enable the field to be referenced in $filter queries. filterable differs from searchable in how strings are handled. Fields of type Edm.String or Collection(Edm.String) that are filterable do not undergo word-breaking, so comparisons are for exact matches only. For example, if you set such a field f to "sunny day", $filter=f eq 'sunny' will find no matches, but $filter=f eq 'sunny day' will. This property must be null for complex fields. Default is true for simple fields and null for complex fields. ,
Required: False ,
}
boolean ,
sortable:
{
Description: A value indicating whether to enable the field to be referenced in $orderby expressions. By default, the search engine sorts results by score, but in many experiences users will want to sort by fields in the documents. A simple field can be sortable only if it is single-valued (it has a single value in the scope of the parent document). Simple collection fields cannot be sortable, since they are multi-valued. Simple sub-fields of complex collections are also multi-valued, and therefore cannot be sortable. This is true whether it's an immediate parent field, or an ancestor field, that's the complex collection. Complex fields cannot be sortable and the sortable property must be null for such fields. The default for sortable is true for single-valued simple fields, false for multi-valued simple fields, and null for complex fields. ,
Required: False ,
}
boolean ,
facetable:
{
Description: A value indicating whether to enable the field to be referenced in facet queries. Typically used in a presentation of search results that includes hit count by category (for example, search for digital cameras and see hits by brand, by megapixels, by price, and so on). This property must be null for complex fields. Fields of type Edm.GeographyPoint or Collection(Edm.GeographyPoint) cannot be facetable. Default is true for all other simple fields. ,
Required: False ,
}
boolean ,
analyzer:
{
Description: The name of the analyzer to use for the field. This option can be used only with searchable fields and it can't be set together with either searchAnalyzer or indexAnalyzer. Once the analyzer is chosen, it cannot be changed for the field. Must be null for complex fields. ,
Enum:
{
ar.microsoft: Microsoft analyzer for Arabic. ,
ar.lucene: Lucene analyzer for Arabic. ,
hy.lucene: Lucene analyzer for Armenian. ,
bn.microsoft: Microsoft analyzer for Bangla. ,
eu.lucene: Lucene analyzer for Basque. ,
bg.microsoft: Microsoft analyzer for Bulgarian. ,
bg.lucene: Lucene analyzer for Bulgarian. ,
ca.microsoft: Microsoft analyzer for Catalan. ,
ca.lucene: Lucene analyzer for Catalan. ,
zh-Hans.microsoft: Microsoft analyzer for Chinese (Simplified). ,
zh-Hans.lucene: Lucene analyzer for Chinese (Simplified). ,
zh-Hant.microsoft: Microsoft analyzer for Chinese (Traditional). ,
zh-Hant.lucene: Lucene analyzer for Chinese (Traditional). ,
hr.microsoft: Microsoft analyzer for Croatian. ,
cs.microsoft: Microsoft analyzer for Czech. ,
cs.lucene: Lucene analyzer for Czech. ,
da.microsoft: Microsoft analyzer for Danish. ,
da.lucene: Lucene analyzer for Danish. ,
nl.microsoft: Microsoft analyzer for Dutch. ,
nl.lucene: Lucene analyzer for Dutch. ,
en.microsoft: Microsoft analyzer for English. ,
en.lucene: Lucene analyzer for English. ,
et.microsoft: Microsoft analyzer for Estonian. ,
fi.microsoft: Microsoft analyzer for Finnish. ,
fi.lucene: Lucene analyzer for Finnish. ,
fr.microsoft: Microsoft analyzer for French. ,
fr.lucene: Lucene analyzer for French. ,
gl.lucene: Lucene analyzer for Galician. ,
de.microsoft: Microsoft analyzer for German. ,
de.lucene: Lucene analyzer for German. ,
el.microsoft: Microsoft analyzer for Greek. ,
el.lucene: Lucene analyzer for Greek. ,
gu.microsoft: Microsoft analyzer for Gujarati. ,
he.microsoft: Microsoft analyzer for Hebrew. ,
hi.microsoft: Microsoft analyzer for Hindi. ,
hi.lucene: Lucene analyzer for Hindi. ,
hu.microsoft: Microsoft analyzer for Hungarian. ,
hu.lucene: Lucene analyzer for Hungarian. ,
is.microsoft: Microsoft analyzer for Icelandic. ,
id.microsoft: Microsoft analyzer for Indonesian (Bahasa). ,
id.lucene: Lucene analyzer for Indonesian. ,
ga.lucene: Lucene analyzer for Irish. ,
it.microsoft: Microsoft analyzer for Italian. ,
it.lucene: Lucene analyzer for Italian. ,
ja.microsoft: Microsoft analyzer for Japanese. ,
ja.lucene: Lucene analyzer for Japanese. ,
kn.microsoft: Microsoft analyzer for Kannada. ,
ko.microsoft: Microsoft analyzer for Korean. ,
ko.lucene: Lucene analyzer for Korean. ,
lv.microsoft: Microsoft analyzer for Latvian. ,
lv.lucene: Lucene analyzer for Latvian. ,
lt.microsoft: Microsoft analyzer for Lithuanian. ,
ml.microsoft: Microsoft analyzer for Malayalam. ,
ms.microsoft: Microsoft analyzer for Malay (Latin). ,
mr.microsoft: Microsoft analyzer for Marathi. ,
nb.microsoft: Microsoft analyzer for Norwegian (Bokmål). ,
no.lucene: Lucene analyzer for Norwegian. ,
fa.lucene: Lucene analyzer for Persian. ,
pl.microsoft: Microsoft analyzer for Polish. ,
pl.lucene: Lucene analyzer for Polish. ,
pt-BR.microsoft: Microsoft analyzer for Portuguese (Brazil). ,
pt-BR.lucene: Lucene analyzer for Portuguese (Brazil). ,
pt-PT.microsoft: Microsoft analyzer for Portuguese (Portugal). ,
pt-PT.lucene: Lucene analyzer for Portuguese (Portugal). ,
pa.microsoft: Microsoft analyzer for Punjabi. ,
ro.microsoft: Microsoft analyzer for Romanian. ,
ro.lucene: Lucene analyzer for Romanian. ,
ru.microsoft: Microsoft analyzer for Russian. ,
ru.lucene: Lucene analyzer for Russian. ,
sr-cyrillic.microsoft: Microsoft analyzer for Serbian (Cyrillic). ,
sr-latin.microsoft: Microsoft analyzer for Serbian (Latin). ,
sk.microsoft: Microsoft analyzer for Slovak. ,
sl.microsoft: Microsoft analyzer for Slovenian. ,
es.microsoft: Microsoft analyzer for Spanish. ,
es.lucene: Lucene analyzer for Spanish. ,
sv.microsoft: Microsoft analyzer for Swedish. ,
sv.lucene: Lucene analyzer for Swedish. ,
ta.microsoft: Microsoft analyzer for Tamil. ,
te.microsoft: Microsoft analyzer for Telugu. ,
th.microsoft: Microsoft analyzer for Thai. ,
th.lucene: Lucene analyzer for Thai. ,
tr.microsoft: Microsoft analyzer for Turkish. ,
tr.lucene: Lucene analyzer for Turkish. ,
uk.microsoft: Microsoft analyzer for Ukrainian. ,
ur.microsoft: Microsoft analyzer for Urdu. ,
vi.microsoft: Microsoft analyzer for Vietnamese. ,
standard.lucene: Standard Lucene analyzer. ,
standardasciifolding.lucene: Standard ASCII Folding Lucene analyzer. See https://learn.microsoft.com/rest/api/searchservice/Custom-analyzers-in-Azure-Search#Analyzers ,
keyword: Treats the entire content of a field as a single token. This is useful for data like zip codes, ids, and some product names. See http://lucene.apache.org/core/4_10_3/analyzers-common/org/apache/lucene/analysis/core/KeywordAnalyzer.html ,
pattern: Flexibly separates text into terms via a regular expression pattern. See http://lucene.apache.org/core/4_10_3/analyzers-common/org/apache/lucene/analysis/miscellaneous/PatternAnalyzer.html ,
simple: Divides text at non-letters and converts them to lower case. See http://lucene.apache.org/core/4_10_3/analyzers-common/org/apache/lucene/analysis/core/SimpleAnalyzer.html ,
stop: Divides text at non-letters; Applies the lowercase and stopword token filters. See http://lucene.apache.org/core/4_10_3/analyzers-common/org/apache/lucene/analysis/core/StopAnalyzer.html ,
whitespace: An analyzer that uses the whitespace tokenizer. See http://lucene.apache.org/core/4_10_3/analyzers-common/org/apache/lucene/analysis/core/WhitespaceAnalyzer.html ,
}
,
Required: False ,
}
enum ,
searchAnalyzer:
{
Description: The name of the analyzer used at search time for the field. This option can be used only with searchable fields. It must be set together with indexAnalyzer and it cannot be set together with the analyzer option. This property cannot be set to the name of a language analyzer; use the analyzer property instead if you need a language analyzer. This analyzer can be updated on an existing field. Must be null for complex fields. ,
Enum:
{
ar.microsoft: Microsoft analyzer for Arabic. ,
ar.lucene: Lucene analyzer for Arabic. ,
hy.lucene: Lucene analyzer for Armenian. ,
bn.microsoft: Microsoft analyzer for Bangla. ,
eu.lucene: Lucene analyzer for Basque. ,
bg.microsoft: Microsoft analyzer for Bulgarian. ,
bg.lucene: Lucene analyzer for Bulgarian. ,
ca.microsoft: Microsoft analyzer for Catalan. ,
ca.lucene: Lucene analyzer for Catalan. ,
zh-Hans.microsoft: Microsoft analyzer for Chinese (Simplified). ,
zh-Hans.lucene: Lucene analyzer for Chinese (Simplified). ,
zh-Hant.microsoft: Microsoft analyzer for Chinese (Traditional). ,
zh-Hant.lucene: Lucene analyzer for Chinese (Traditional). ,
hr.microsoft: Microsoft analyzer for Croatian. ,
cs.microsoft: Microsoft analyzer for Czech. ,
cs.lucene: Lucene analyzer for Czech. ,
da.microsoft: Microsoft analyzer for Danish. ,
da.lucene: Lucene analyzer for Danish. ,
nl.microsoft: Microsoft analyzer for Dutch. ,
nl.lucene: Lucene analyzer for Dutch. ,
en.microsoft: Microsoft analyzer for English. ,
en.lucene: Lucene analyzer for English. ,
et.microsoft: Microsoft analyzer for Estonian. ,
fi.microsoft: Microsoft analyzer for Finnish. ,
fi.lucene: Lucene analyzer for Finnish. ,
fr.microsoft: Microsoft analyzer for French. ,
fr.lucene: Lucene analyzer for French. ,
gl.lucene: Lucene analyzer for Galician. ,
de.microsoft: Microsoft analyzer for German. ,
de.lucene: Lucene analyzer for German. ,
el.microsoft: Microsoft analyzer for Greek. ,
el.lucene: Lucene analyzer for Greek. ,
gu.microsoft: Microsoft analyzer for Gujarati. ,
he.microsoft: Microsoft analyzer for Hebrew. ,
hi.microsoft: Microsoft analyzer for Hindi. ,
hi.lucene: Lucene analyzer for Hindi. ,
hu.microsoft: Microsoft analyzer for Hungarian. ,
hu.lucene: Lucene analyzer for Hungarian. ,
is.microsoft: Microsoft analyzer for Icelandic. ,
id.microsoft: Microsoft analyzer for Indonesian (Bahasa). ,
id.lucene: Lucene analyzer for Indonesian. ,
ga.lucene: Lucene analyzer for Irish. ,
it.microsoft: Microsoft analyzer for Italian. ,
it.lucene: Lucene analyzer for Italian. ,
ja.microsoft: Microsoft analyzer for Japanese. ,
ja.lucene: Lucene analyzer for Japanese. ,
kn.microsoft: Microsoft analyzer for Kannada. ,
ko.microsoft: Microsoft analyzer for Korean. ,
ko.lucene: Lucene analyzer for Korean. ,
lv.microsoft: Microsoft analyzer for Latvian. ,
lv.lucene: Lucene analyzer for Latvian. ,
lt.microsoft: Microsoft analyzer for Lithuanian. ,
ml.microsoft: Microsoft analyzer for Malayalam. ,
ms.microsoft: Microsoft analyzer for Malay (Latin). ,
mr.microsoft: Microsoft analyzer for Marathi. ,
nb.microsoft: Microsoft analyzer for Norwegian (Bokmål). ,
no.lucene: Lucene analyzer for Norwegian. ,
fa.lucene: Lucene analyzer for Persian. ,
pl.microsoft: Microsoft analyzer for Polish. ,
pl.lucene: Lucene analyzer for Polish. ,
pt-BR.microsoft: Microsoft analyzer for Portuguese (Brazil). ,
pt-BR.lucene: Lucene analyzer for Portuguese (Brazil). ,
pt-PT.microsoft: Microsoft analyzer for Portuguese (Portugal). ,
pt-PT.lucene: Lucene analyzer for Portuguese (Portugal). ,
pa.microsoft: Microsoft analyzer for Punjabi. ,
ro.microsoft: Microsoft analyzer for Romanian. ,
ro.lucene: Lucene analyzer for Romanian. ,
ru.microsoft: Microsoft analyzer for Russian. ,
ru.lucene: Lucene analyzer for Russian. ,
sr-cyrillic.microsoft: Microsoft analyzer for Serbian (Cyrillic). ,
sr-latin.microsoft: Microsoft analyzer for Serbian (Latin). ,
sk.microsoft: Microsoft analyzer for Slovak. ,
sl.microsoft: Microsoft analyzer for Slovenian. ,
es.microsoft: Microsoft analyzer for Spanish. ,
es.lucene: Lucene analyzer for Spanish. ,
sv.microsoft: Microsoft analyzer for Swedish. ,
sv.lucene: Lucene analyzer for Swedish. ,
ta.microsoft: Microsoft analyzer for Tamil. ,
te.microsoft: Microsoft analyzer for Telugu. ,
th.microsoft: Microsoft analyzer for Thai. ,
th.lucene: Lucene analyzer for Thai. ,
tr.microsoft: Microsoft analyzer for Turkish. ,
tr.lucene: Lucene analyzer for Turkish. ,
uk.microsoft: Microsoft analyzer for Ukrainian. ,
ur.microsoft: Microsoft analyzer for Urdu. ,
vi.microsoft: Microsoft analyzer for Vietnamese. ,
standard.lucene: Standard Lucene analyzer. ,
standardasciifolding.lucene: Standard ASCII Folding Lucene analyzer. See https://learn.microsoft.com/rest/api/searchservice/Custom-analyzers-in-Azure-Search#Analyzers ,
keyword: Treats the entire content of a field as a single token. This is useful for data like zip codes, ids, and some product names. See http://lucene.apache.org/core/4_10_3/analyzers-common/org/apache/lucene/analysis/core/KeywordAnalyzer.html ,
pattern: Flexibly separates text into terms via a regular expression pattern. See http://lucene.apache.org/core/4_10_3/analyzers-common/org/apache/lucene/analysis/miscellaneous/PatternAnalyzer.html ,
simple: Divides text at non-letters and converts them to lower case. See http://lucene.apache.org/core/4_10_3/analyzers-common/org/apache/lucene/analysis/core/SimpleAnalyzer.html ,
stop: Divides text at non-letters; Applies the lowercase and stopword token filters. See http://lucene.apache.org/core/4_10_3/analyzers-common/org/apache/lucene/analysis/core/StopAnalyzer.html ,
whitespace: An analyzer that uses the whitespace tokenizer. See http://lucene.apache.org/core/4_10_3/analyzers-common/org/apache/lucene/analysis/core/WhitespaceAnalyzer.html ,
}
,
Required: False ,
}
enum ,
indexAnalyzer:
{
Description: The name of the analyzer used at indexing time for the field. This option can be used only with searchable fields. It must be set together with searchAnalyzer and it cannot be set together with the analyzer option. This property cannot be set to the name of a language analyzer; use the analyzer property instead if you need a language analyzer. Once the analyzer is chosen, it cannot be changed for the field. Must be null for complex fields. ,
Enum:
{
ar.microsoft: Microsoft analyzer for Arabic. ,
ar.lucene: Lucene analyzer for Arabic. ,
hy.lucene: Lucene analyzer for Armenian. ,
bn.microsoft: Microsoft analyzer for Bangla. ,
eu.lucene: Lucene analyzer for Basque. ,
bg.microsoft: Microsoft analyzer for Bulgarian. ,
bg.lucene: Lucene analyzer for Bulgarian. ,
ca.microsoft: Microsoft analyzer for Catalan. ,
ca.lucene: Lucene analyzer for Catalan. ,
zh-Hans.microsoft: Microsoft analyzer for Chinese (Simplified). ,
zh-Hans.lucene: Lucene analyzer for Chinese (Simplified). ,
zh-Hant.microsoft: Microsoft analyzer for Chinese (Traditional). ,
zh-Hant.lucene: Lucene analyzer for Chinese (Traditional). ,
hr.microsoft: Microsoft analyzer for Croatian. ,
cs.microsoft: Microsoft analyzer for Czech. ,
cs.lucene: Lucene analyzer for Czech. ,
da.microsoft: Microsoft analyzer for Danish. ,
da.lucene: Lucene analyzer for Danish. ,
nl.microsoft: Microsoft analyzer for Dutch. ,
nl.lucene: Lucene analyzer for Dutch. ,
en.microsoft: Microsoft analyzer for English. ,
en.lucene: Lucene analyzer for English. ,
et.microsoft: Microsoft analyzer for Estonian. ,
fi.microsoft: Microsoft analyzer for Finnish. ,
fi.lucene: Lucene analyzer for Finnish. ,
fr.microsoft: Microsoft analyzer for French. ,
fr.lucene: Lucene analyzer for French. ,
gl.lucene: Lucene analyzer for Galician. ,
de.microsoft: Microsoft analyzer for German. ,
de.lucene: Lucene analyzer for German. ,
el.microsoft: Microsoft analyzer for Greek. ,
el.lucene: Lucene analyzer for Greek. ,
gu.microsoft: Microsoft analyzer for Gujarati. ,
he.microsoft: Microsoft analyzer for Hebrew. ,
hi.microsoft: Microsoft analyzer for Hindi. ,
hi.lucene: Lucene analyzer for Hindi. ,
hu.microsoft: Microsoft analyzer for Hungarian. ,
hu.lucene: Lucene analyzer for Hungarian. ,
is.microsoft: Microsoft analyzer for Icelandic. ,
id.microsoft: Microsoft analyzer for Indonesian (Bahasa). ,
id.lucene: Lucene analyzer for Indonesian. ,
ga.lucene: Lucene analyzer for Irish. ,
it.microsoft: Microsoft analyzer for Italian. ,
it.lucene: Lucene analyzer for Italian. ,
ja.microsoft: Microsoft analyzer for Japanese. ,
ja.lucene: Lucene analyzer for Japanese. ,
kn.microsoft: Microsoft analyzer for Kannada. ,
ko.microsoft: Microsoft analyzer for Korean. ,
ko.lucene: Lucene analyzer for Korean. ,
lv.microsoft: Microsoft analyzer for Latvian. ,
lv.lucene: Lucene analyzer for Latvian. ,
lt.microsoft: Microsoft analyzer for Lithuanian. ,
ml.microsoft: Microsoft analyzer for Malayalam. ,
ms.microsoft: Microsoft analyzer for Malay (Latin). ,
mr.microsoft: Microsoft analyzer for Marathi. ,
nb.microsoft: Microsoft analyzer for Norwegian (Bokmål). ,
no.lucene: Lucene analyzer for Norwegian. ,
fa.lucene: Lucene analyzer for Persian. ,
pl.microsoft: Microsoft analyzer for Polish. ,
pl.lucene: Lucene analyzer for Polish. ,
pt-BR.microsoft: Microsoft analyzer for Portuguese (Brazil). ,
pt-BR.lucene: Lucene analyzer for Portuguese (Brazil). ,
pt-PT.microsoft: Microsoft analyzer for Portuguese (Portugal). ,
pt-PT.lucene: Lucene analyzer for Portuguese (Portugal). ,
pa.microsoft: Microsoft analyzer for Punjabi. ,
ro.microsoft: Microsoft analyzer for Romanian. ,
ro.lucene: Lucene analyzer for Romanian. ,
ru.microsoft: Microsoft analyzer for Russian. ,
ru.lucene: Lucene analyzer for Russian. ,
sr-cyrillic.microsoft: Microsoft analyzer for Serbian (Cyrillic). ,
sr-latin.microsoft: Microsoft analyzer for Serbian (Latin). ,
sk.microsoft: Microsoft analyzer for Slovak. ,
sl.microsoft: Microsoft analyzer for Slovenian. ,
es.microsoft: Microsoft analyzer for Spanish. ,
es.lucene: Lucene analyzer for Spanish. ,
sv.microsoft: Microsoft analyzer for Swedish. ,
sv.lucene: Lucene analyzer for Swedish. ,
ta.microsoft: Microsoft analyzer for Tamil. ,
te.microsoft: Microsoft analyzer for Telugu. ,
th.microsoft: Microsoft analyzer for Thai. ,
th.lucene: Lucene analyzer for Thai. ,
tr.microsoft: Microsoft analyzer for Turkish. ,
tr.lucene: Lucene analyzer for Turkish. ,
uk.microsoft: Microsoft analyzer for Ukrainian. ,
ur.microsoft: Microsoft analyzer for Urdu. ,
vi.microsoft: Microsoft analyzer for Vietnamese. ,
standard.lucene: Standard Lucene analyzer. ,
standardasciifolding.lucene: Standard ASCII Folding Lucene analyzer. See https://learn.microsoft.com/rest/api/searchservice/Custom-analyzers-in-Azure-Search#Analyzers ,
keyword: Treats the entire content of a field as a single token. This is useful for data like zip codes, ids, and some product names. See http://lucene.apache.org/core/4_10_3/analyzers-common/org/apache/lucene/analysis/core/KeywordAnalyzer.html ,
pattern: Flexibly separates text into terms via a regular expression pattern. See http://lucene.apache.org/core/4_10_3/analyzers-common/org/apache/lucene/analysis/miscellaneous/PatternAnalyzer.html ,
simple: Divides text at non-letters and converts them to lower case. See http://lucene.apache.org/core/4_10_3/analyzers-common/org/apache/lucene/analysis/core/SimpleAnalyzer.html ,
stop: Divides text at non-letters; Applies the lowercase and stopword token filters. See http://lucene.apache.org/core/4_10_3/analyzers-common/org/apache/lucene/analysis/core/StopAnalyzer.html ,
whitespace: An analyzer that uses the whitespace tokenizer. See http://lucene.apache.org/core/4_10_3/analyzers-common/org/apache/lucene/analysis/core/WhitespaceAnalyzer.html ,
}
,
Required: False ,
}
enum ,
normalizer:
{
Description: The name of the normalizer to use for the field. This option can be used only with fields with filterable, sortable, or facetable enabled. Once the normalizer is chosen, it cannot be changed for the field. Must be null for complex fields. ,
Enum:
{
asciifolding: Converts alphabetic, numeric, and symbolic Unicode characters which are not in the first 127 ASCII characters (the "Basic Latin" Unicode block) into their ASCII equivalents, if such equivalents exist. See http://lucene.apache.org/core/4_10_3/analyzers-common/org/apache/lucene/analysis/miscellaneous/ASCIIFoldingFilter.html ,
elision: Removes elisions. For example, "l'avion" (the plane) will be converted to "avion" (plane). See http://lucene.apache.org/core/4_10_3/analyzers-common/org/apache/lucene/analysis/util/ElisionFilter.html ,
lowercase: Normalizes token text to lowercase. See https://lucene.apache.org/core/6_6_1/analyzers-common/org/apache/lucene/analysis/core/LowerCaseFilter.html ,
standard: Standard normalizer, which consists of lowercase and asciifolding. See http://lucene.apache.org/core/4_10_3/analyzers-common/org/apache/lucene/analysis/reverse/ReverseStringFilter.html ,
uppercase: Normalizes token text to uppercase. See https://lucene.apache.org/core/6_6_1/analyzers-common/org/apache/lucene/analysis/core/UpperCaseFilter.html ,
}
,
Required: False ,
}
enum ,
dimensions:
{
Description: The dimensionality of the vector field. ,
Format: int32 ,
Required: False ,
}
integer ,
vectorSearchProfile:
{
Description: The name of the vector search profile that specifies the algorithm and vectorizer to use when searching the vector field. ,
Required: False ,
}
string ,
vectorEncoding:
{
Description: The encoding format to interpret the field contents. ,
Enum:
{
packedBit: Encoding format representing bits packed into a wider data type. ,
}
,
Required: False ,
}
enum ,
synonymMaps:
{
Description: A list of the names of synonym maps to associate with this field. This option can be used only with searchable fields. Currently only one synonym map per field is supported. Assigning a synonym map to a field ensures that query terms targeting that field are expanded at query-time using the rules in the synonym map. This attribute can be changed on existing fields. Must be null or an empty collection for complex fields. ,
Required: False ,
}
[
string ,
]
,
fields:
{
Description: A list of sub-fields if this is a field of type Edm.ComplexType or Collection(Edm.ComplexType). Must be null or empty for simple fields. ,
Required: False ,
}
[
string ,
]
,
}
,
]
,
scoringProfiles:
{
Description: The scoring profiles for the index. ,
Required: False ,
}
[
{
name:
{
Description: The name of the scoring profile. ,
Required: True ,
}
string ,
text:
{
Description: Parameters that boost scoring based on text matches in certain index fields. ,
Required: False ,
}
{
weights:
{
Description: The dictionary of per-field weights to boost document scoring. The keys are field names and the values are the weights for each field. ,
Required: True ,
}
object ,
}
,
functions:
{
Description: The collection of functions that influence the scoring of documents. ,
Required: False ,
}
[
{
type:
{
Description: Indicates the type of function to use. Valid values include magnitude, freshness, distance, and tag. The function type must be lower case. ,
Required: True ,
}
string ,
fieldName:
{
Description: The name of the field used as input to the scoring function. ,
Required: True ,
}
string ,
boost:
{
Description: A multiplier for the raw score. Must be a positive number not equal to 1.0. ,
Format: double ,
Required: True ,
}
number ,
interpolation:
{
Description: A value indicating how boosting will be interpolated across document scores; defaults to "Linear". ,
Enum:
{
linear: Boosts scores by a linearly decreasing amount. This is the default interpolation for scoring functions. ,
constant: Boosts scores by a constant factor. ,
quadratic: Boosts scores by an amount that decreases quadratically. Boosts decrease slowly for higher scores, and more quickly as the scores decrease. This interpolation option is not allowed in tag scoring functions. ,
logarithmic: Boosts scores by an amount that decreases logarithmically. Boosts decrease quickly for higher scores, and more slowly as the scores decrease. This interpolation option is not allowed in tag scoring functions. ,
}
,
Required: False ,
}
enum ,
}
,
]
,
functionAggregation:
{
Description: A value indicating how the results of individual scoring functions should be combined. Defaults to "Sum". Ignored if there are no scoring functions. ,
Enum:
{
sum: Boost scores by the sum of all scoring function results. ,
average: Boost scores by the average of all scoring function results. ,
minimum: Boost scores by the minimum of all scoring function results. ,
maximum: Boost scores by the maximum of all scoring function results. ,
firstMatching: Boost scores using the first applicable scoring function in the scoring profile. ,
}
,
Required: False ,
}
enum ,
}
,
]
,
defaultScoringProfile:
{
Description: The name of the scoring profile to use if none is specified in the query. If this property is not set and no scoring profile is specified in the query, then default scoring (tf-idf) will be used. ,
Required: False ,
}
string ,
corsOptions:
{
Description: Options to control Cross-Origin Resource Sharing (CORS) for the index. ,
Required: False ,
}
{
allowedOrigins:
{
Description: The list of origins from which JavaScript code will be granted access to your index. Can contain a list of hosts of the form {protocol}://{fully-qualified-domain-name}[:{port#}], or a single '*' to allow all origins (not recommended). ,
Required: True ,
}
[
string ,
]
,
maxAgeInSeconds:
{
Description: The duration for which browsers should cache CORS preflight responses. Defaults to 5 minutes. ,
Format: int64 ,
Required: False ,
}
integer ,
}
,
suggesters:
{
Description: The suggesters for the index. ,
Required: False ,
}
[
{
name:
{
Description: The name of the suggester. ,
Required: True ,
}
string ,
searchMode:
{
Description: A value indicating the capabilities of the suggester. ,
Enum:
{
analyzingInfixMatching: Matches consecutive whole terms and prefixes in a field. For example, for the field 'The fastest brown fox', the queries 'fast' and 'fastest brow' would both match. ,
}
,
Required: True ,
}
enum ,
sourceFields:
{
Description: The list of field names to which the suggester applies. Each field must be searchable. ,
Required: True ,
}
[
string ,
]
,
}
,
]
,
analyzers:
{
Description: The analyzers for the index. ,
Required: False ,
}
[
{
@odata.type:
{
Description: A URI fragment specifying the type of analyzer. ,
Required: True ,
}
string ,
name:
{
Description: The name of the analyzer. It must only contain letters, digits, spaces, dashes or underscores, can only start and end with alphanumeric characters, and is limited to 128 characters. ,
Required: True ,
}
string ,
}
,
]
,
tokenizers:
{
Description: The tokenizers for the index. ,
Required: False ,
}
[
{
@odata.type:
{
Description: A URI fragment specifying the type of tokenizer. ,
Required: True ,
}
string ,
name:
{
Description: The name of the tokenizer. It must only contain letters, digits, spaces, dashes or underscores, can only start and end with alphanumeric characters, and is limited to 128 characters. ,
Required: True ,
}
string ,
}
,
]
,
tokenFilters:
{
Description: The token filters for the index. ,
Required: False ,
}
[
{
@odata.type:
{
Description: A URI fragment specifying the type of token filter. ,
Required: True ,
}
string ,
name:
{
Description: The name of the token filter. It must only contain letters, digits, spaces, dashes or underscores, can only start and end with alphanumeric characters, and is limited to 128 characters. ,
Required: True ,
}
string ,
}
,
]
,
charFilters:
{
Description: The character filters for the index. ,
Required: False ,
}
[
{
@odata.type:
{
Description: A URI fragment specifying the type of char filter. ,
Required: True ,
}
string ,
name:
{
Description: The name of the char filter. It must only contain letters, digits, spaces, dashes or underscores, can only start and end with alphanumeric characters, and is limited to 128 characters. ,
Required: True ,
}
string ,
}
,
]
,
normalizers:
{
Description: The normalizers for the index. ,
Required: False ,
}
[
{
@odata.type:
{
Description: A URI fragment specifying the type of normalizer. ,
Required: True ,
}
string ,
name:
{
Description: The name of the normalizer. It must only contain letters, digits, spaces, dashes or underscores, can only start and end with alphanumeric characters, and is limited to 128 characters. It cannot end in '.microsoft' nor '.lucene', nor be named 'asciifolding', 'standard', 'lowercase', 'uppercase', or 'elision'. ,
Required: True ,
}
string ,
}
,
]
,
encryptionKey:
{
Description: A description of an encryption key that you create in Azure Key Vault. This key is used to provide an additional level of encryption-at-rest for your data when you want full assurance that no one, not even Microsoft, can decrypt your data. Once you have encrypted your data, it will always remain encrypted. The search service will ignore attempts to set this property to null. You can change this property as needed if you want to rotate your encryption key; Your data will be unaffected. Encryption with customer-managed keys is not available for free search services, and is only available for paid services created on or after January 1, 2019. ,
Required: False ,
}
{
keyVaultKeyName:
{
Description: The name of your Azure Key Vault key to be used to encrypt your data at rest. ,
Required: True ,
}
string ,
keyVaultKeyVersion:
{
Description: The version of your Azure Key Vault key to be used to encrypt your data at rest. ,
Required: True ,
}
string ,
keyVaultUri:
{
Description: The URI of your Azure Key Vault, also referred to as DNS name, that contains the key to be used to encrypt your data at rest. An example URI might be `https://my-keyvault-name.vault.azure.net`. ,
Required: True ,
}
string ,
accessCredentials:
{
Description: Optional Azure Active Directory credentials used for accessing your Azure Key Vault. Not required if using managed identity instead. ,
Required: False ,
}
{
applicationId:
{
Description: An AAD Application ID that was granted the required access permissions to the Azure Key Vault that is to be used when encrypting your data at rest. The Application ID should not be confused with the Object ID for your AAD Application. ,
Required: True ,
}
string ,
applicationSecret:
{
Description: The authentication key of the specified AAD application. ,
Required: False ,
}
string ,
}
,
}
,
similarity:
{
Description: The type of similarity algorithm to be used when scoring and ranking the documents matching a search query. The similarity algorithm can only be defined at index creation time and cannot be modified on existing indexes. If null, the ClassicSimilarity algorithm is used. ,
Required: False ,
}
{
@odata.type:
{
Required: True ,
}
string ,
}
,
semantic:
{
Description: Defines parameters for a search index that influence semantic capabilities. ,
Required: False ,
}
{
defaultConfiguration:
{
Description: Allows you to set the name of a default semantic configuration in your index, making it optional to pass it on as a query parameter every time. ,
Required: False ,
}
string ,
configurations:
{
Description: The semantic configurations for the index. ,
Required: False ,
}
[
{
name:
{
Description: The name of the semantic configuration. ,
Required: True ,
}
string ,
prioritizedFields:
{
Description: Describes the title, content, and keyword fields to be used for semantic ranking, captions, highlights, and answers. At least one of the three sub properties (titleField, prioritizedKeywordsFields and prioritizedContentFields) need to be set. ,
Required: True ,
}
{
titleField:
{
Description: Defines the title field to be used for semantic ranking, captions, highlights, and answers. If you don't have a title field in your index, leave this blank. ,
Required: False ,
}
{
fieldName:
{
Required: True ,
}
string ,
}
,
prioritizedContentFields:
{
Description: Defines the content fields to be used for semantic ranking, captions, highlights, and answers. For the best result, the selected fields should contain text in natural language form. The order of the fields in the array represents their priority. Fields with lower priority may get truncated if the content is long. ,
Required: False ,
}
[
{
fieldName:
{
Required: True ,
}
string ,
}
,
]
,
prioritizedKeywordsFields:
{
Description: Defines the keyword fields to be used for semantic ranking, captions, highlights, and answers. For the best result, the selected fields should contain a list of keywords. The order of the fields in the array represents their priority. Fields with lower priority may get truncated if the content is long. ,
Required: False ,
}
[
{
fieldName:
{
Required: True ,
}
string ,
}
,
]
,
}
,
rankingOrder:
{
Description: Specifies the score type to be used for the sort order of the search results. ,
Enum:
{
BoostedRerankerScore: Sets sort order as BoostedRerankerScore ,
RerankerScore: Sets sort order as ReRankerScore ,
}
,
Required: False ,
}
enum ,
}
,
]
,
}
,
vectorSearch:
{
Description: Contains configuration options related to vector search. ,
Required: False ,
}
{
profiles:
{
Description: Defines combinations of configurations to use with vector search. ,
Required: False ,
}
[
{
name:
{
Description: The name to associate with this particular vector search profile. ,
Required: True ,
}
string ,
algorithm:
{
Description: The name of the vector search algorithm configuration that specifies the algorithm and optional parameters. ,
Required: True ,
}
string ,
vectorizer:
{
Description: The name of the vectorization being configured for use with vector search. ,
Required: False ,
}
string ,
compression:
{
Description: The name of the compression method configuration that specifies the compression method and optional parameters. ,
Required: False ,
}
string ,
}
,
]
,
algorithms:
{
Description: Contains configuration options specific to the algorithm used during indexing or querying. ,
Required: False ,
}
[
{
name:
{
Description: The name to associate with this particular configuration. ,
Required: True ,
}
string ,
kind:
{
Description: The name of the kind of algorithm being configured for use with vector search. ,
Enum:
{
hnsw: HNSW (Hierarchical Navigable Small World), a type of approximate nearest neighbors algorithm. ,
exhaustiveKnn: Exhaustive KNN algorithm which will perform brute-force search. ,
}
,
Required: True ,
}
enum ,
}
,
]
,
vectorizers:
{
Description: Contains configuration options on how to vectorize text vector queries. ,
Required: False ,
}
[
{
name:
{
Description: The name to associate with this particular vectorization method. ,
Required: True ,
}
string ,
kind:
{
Description: The name of the kind of vectorization method being configured for use with vector search. ,
Enum:
{
azureOpenAI: Generate embeddings using an Azure OpenAI resource at query time. ,
customWebApi: Generate embeddings using a custom web endpoint at query time. ,
}
,
Required: True ,
}
enum ,
}
,
]
,
compressions:
{
Description: Contains configuration options specific to the compression method used during indexing or querying. ,
Required: False ,
}
[
{
name:
{
Description: The name to associate with this particular configuration. ,
Required: True ,
}
string ,
kind:
{
Description: The name of the kind of compression method being configured for use with vector search. ,
Enum:
{
scalarQuantization: Scalar Quantization, a type of compression method. In scalar quantization, the original vectors values are compressed to a narrower type by discretizing and representing each component of a vector using a reduced set of quantized values, thereby reducing the overall data size. ,
binaryQuantization: Binary Quantization, a type of compression method. In binary quantization, the original vectors values are compressed to the narrower binary type by discretizing and representing each component of a vector using binary values, thereby reducing the overall data size. ,
}
,
Required: True ,
}
enum ,
rescoringOptions:
{
Description: Contains the options for rescoring. ,
Required: False ,
}
{
enableRescoring:
{
Description: If set to true, after the initial search on the compressed vectors, the similarity scores are recalculated using the full-precision vectors. This will improve recall at the expense of latency. ,
Required: False ,
}
boolean ,
defaultOversampling:
{
Description: Default oversampling factor. Oversampling retrieves a greater set of potential documents to offset the resolution loss due to quantization. This increases the set of results that will be rescored on full-precision vectors. Minimum value is 1, meaning no oversampling (1x). This parameter can only be set when 'enableRescoring' is true. Higher values improve recall at the expense of latency. ,
Format: double ,
Required: False ,
}
number ,
rescoreStorageMethod:
{
Description: Controls the storage method for original vectors. This setting is immutable. ,
Enum:
{
preserveOriginals: This option preserves the original full-precision vectors. Choose this option for maximum flexibility and highest quality of compressed search results. This consumes more storage but allows for rescoring and oversampling. ,
discardOriginals: This option discards the original full-precision vectors. Choose this option for maximum storage savings. Since this option does not allow for rescoring and oversampling, it will often cause slight to moderate reductions in quality. ,
}
,
Required: False ,
}
enum ,
}
,
truncationDimension:
{
Description: The number of dimensions to truncate the vectors to. Truncating the vectors reduces the size of the vectors and the amount of data that needs to be transferred during search. This can save storage cost and improve search performance at the expense of recall. It should be only used for embeddings trained with Matryoshka Representation Learning (MRL) such as OpenAI text-embedding-3-large (small). The default value is null, which means no truncation. ,
Format: int32 ,
Required: False ,
}
integer ,
}
,
]
,
}
,
@odata.etag:
{
Description: The ETag of the index. ,
Required: False ,
}
string ,
}

⚐ Response (default)

{
error:
{
Description: The error object. ,
Required: False ,
}
{
code:
{
Description: The error code. ,
Required: False ,
}
string ,
message:
{
Description: The error message. ,
Required: False ,
}
string ,
target:
{
Description: The error target. ,
Required: False ,
}
string ,
details:
{
Description: The error details. ,
Required: False ,
}
[
string ,
]
,
additionalInfo:
{
Description: The error additional info. ,
Required: False ,
}
[
{
type:
{
Description: The additional info type. ,
Required: False ,
}
string ,
info:
{
Description: The additional info. ,
Required: False ,
}
object ,
}
,
]
,
}
,
}
Indexes_GetStatistics (new)
Description :  Returns statistics for the given index, including a document count and storage usage.
Reference :  Link ¶

⚼ Request

GET:  /indexes('{indexName}')/search.stats
{
indexName:
{
Description: The name of the index for which to retrieve statistics. ,
Required: True ,
}
string ,
x-ms-client-request-id:
{
Description: The tracking ID sent with the request to help with debugging. ,
Format: uuid ,
Required: False ,
}
string ,
api-version:
{
Description: Client Api Version. ,
Required: True ,
}
string ,
}

⚐ Response (200)

{
documentCount:
{
Description: The number of documents in the index. ,
Format: int64 ,
Required: True ,
}
integer ,
storageSize:
{
Description: The amount of storage in bytes consumed by the index. ,
Format: int64 ,
Required: True ,
}
integer ,
vectorIndexSize:
{
Description: The amount of memory in bytes consumed by vectors in the index. ,
Format: int64 ,
Required: True ,
}
integer ,
}

⚐ Response (default)

{
error:
{
Description: The error object. ,
Required: False ,
}
{
code:
{
Description: The error code. ,
Required: False ,
}
string ,
message:
{
Description: The error message. ,
Required: False ,
}
string ,
target:
{
Description: The error target. ,
Required: False ,
}
string ,
details:
{
Description: The error details. ,
Required: False ,
}
[
string ,
]
,
additionalInfo:
{
Description: The error additional info. ,
Required: False ,
}
[
{
type:
{
Description: The additional info type. ,
Required: False ,
}
string ,
info:
{
Description: The additional info. ,
Required: False ,
}
object ,
}
,
]
,
}
,
}
Indexes_Analyze (new)
Description :  Shows how an analyzer breaks text into tokens.
Reference :  Link ¶

⚼ Request

POST:  /indexes('{indexName}')/search.analyze
{
indexName:
{
Description: The name of the index for which to test an analyzer. ,
Required: True ,
}
string ,
request:
{
Description: The text and analyzer or analysis components to test. ,
Required: True ,
}
{
text:
{
Description: The text to break into tokens. ,
Required: True ,
}
string ,
analyzer:
{
Description: The name of the analyzer to use to break the given text. If this parameter is not specified, you must specify a tokenizer instead. The tokenizer and analyzer parameters are mutually exclusive. ,
Enum:
{
ar.microsoft: Microsoft analyzer for Arabic. ,
ar.lucene: Lucene analyzer for Arabic. ,
hy.lucene: Lucene analyzer for Armenian. ,
bn.microsoft: Microsoft analyzer for Bangla. ,
eu.lucene: Lucene analyzer for Basque. ,
bg.microsoft: Microsoft analyzer for Bulgarian. ,
bg.lucene: Lucene analyzer for Bulgarian. ,
ca.microsoft: Microsoft analyzer for Catalan. ,
ca.lucene: Lucene analyzer for Catalan. ,
zh-Hans.microsoft: Microsoft analyzer for Chinese (Simplified). ,
zh-Hans.lucene: Lucene analyzer for Chinese (Simplified). ,
zh-Hant.microsoft: Microsoft analyzer for Chinese (Traditional). ,
zh-Hant.lucene: Lucene analyzer for Chinese (Traditional). ,
hr.microsoft: Microsoft analyzer for Croatian. ,
cs.microsoft: Microsoft analyzer for Czech. ,
cs.lucene: Lucene analyzer for Czech. ,
da.microsoft: Microsoft analyzer for Danish. ,
da.lucene: Lucene analyzer for Danish. ,
nl.microsoft: Microsoft analyzer for Dutch. ,
nl.lucene: Lucene analyzer for Dutch. ,
en.microsoft: Microsoft analyzer for English. ,
en.lucene: Lucene analyzer for English. ,
et.microsoft: Microsoft analyzer for Estonian. ,
fi.microsoft: Microsoft analyzer for Finnish. ,
fi.lucene: Lucene analyzer for Finnish. ,
fr.microsoft: Microsoft analyzer for French. ,
fr.lucene: Lucene analyzer for French. ,
gl.lucene: Lucene analyzer for Galician. ,
de.microsoft: Microsoft analyzer for German. ,
de.lucene: Lucene analyzer for German. ,
el.microsoft: Microsoft analyzer for Greek. ,
el.lucene: Lucene analyzer for Greek. ,
gu.microsoft: Microsoft analyzer for Gujarati. ,
he.microsoft: Microsoft analyzer for Hebrew. ,
hi.microsoft: Microsoft analyzer for Hindi. ,
hi.lucene: Lucene analyzer for Hindi. ,
hu.microsoft: Microsoft analyzer for Hungarian. ,
hu.lucene: Lucene analyzer for Hungarian. ,
is.microsoft: Microsoft analyzer for Icelandic. ,
id.microsoft: Microsoft analyzer for Indonesian (Bahasa). ,
id.lucene: Lucene analyzer for Indonesian. ,
ga.lucene: Lucene analyzer for Irish. ,
it.microsoft: Microsoft analyzer for Italian. ,
it.lucene: Lucene analyzer for Italian. ,
ja.microsoft: Microsoft analyzer for Japanese. ,
ja.lucene: Lucene analyzer for Japanese. ,
kn.microsoft: Microsoft analyzer for Kannada. ,
ko.microsoft: Microsoft analyzer for Korean. ,
ko.lucene: Lucene analyzer for Korean. ,
lv.microsoft: Microsoft analyzer for Latvian. ,
lv.lucene: Lucene analyzer for Latvian. ,
lt.microsoft: Microsoft analyzer for Lithuanian. ,
ml.microsoft: Microsoft analyzer for Malayalam. ,
ms.microsoft: Microsoft analyzer for Malay (Latin). ,
mr.microsoft: Microsoft analyzer for Marathi. ,
nb.microsoft: Microsoft analyzer for Norwegian (Bokmål). ,
no.lucene: Lucene analyzer for Norwegian. ,
fa.lucene: Lucene analyzer for Persian. ,
pl.microsoft: Microsoft analyzer for Polish. ,
pl.lucene: Lucene analyzer for Polish. ,
pt-BR.microsoft: Microsoft analyzer for Portuguese (Brazil). ,
pt-BR.lucene: Lucene analyzer for Portuguese (Brazil). ,
pt-PT.microsoft: Microsoft analyzer for Portuguese (Portugal). ,
pt-PT.lucene: Lucene analyzer for Portuguese (Portugal). ,
pa.microsoft: Microsoft analyzer for Punjabi. ,
ro.microsoft: Microsoft analyzer for Romanian. ,
ro.lucene: Lucene analyzer for Romanian. ,
ru.microsoft: Microsoft analyzer for Russian. ,
ru.lucene: Lucene analyzer for Russian. ,
sr-cyrillic.microsoft: Microsoft analyzer for Serbian (Cyrillic). ,
sr-latin.microsoft: Microsoft analyzer for Serbian (Latin). ,
sk.microsoft: Microsoft analyzer for Slovak. ,
sl.microsoft: Microsoft analyzer for Slovenian. ,
es.microsoft: Microsoft analyzer for Spanish. ,
es.lucene: Lucene analyzer for Spanish. ,
sv.microsoft: Microsoft analyzer for Swedish. ,
sv.lucene: Lucene analyzer for Swedish. ,
ta.microsoft: Microsoft analyzer for Tamil. ,
te.microsoft: Microsoft analyzer for Telugu. ,
th.microsoft: Microsoft analyzer for Thai. ,
th.lucene: Lucene analyzer for Thai. ,
tr.microsoft: Microsoft analyzer for Turkish. ,
tr.lucene: Lucene analyzer for Turkish. ,
uk.microsoft: Microsoft analyzer for Ukrainian. ,
ur.microsoft: Microsoft analyzer for Urdu. ,
vi.microsoft: Microsoft analyzer for Vietnamese. ,
standard.lucene: Standard Lucene analyzer. ,
standardasciifolding.lucene: Standard ASCII Folding Lucene analyzer. See https://learn.microsoft.com/rest/api/searchservice/Custom-analyzers-in-Azure-Search#Analyzers ,
keyword: Treats the entire content of a field as a single token. This is useful for data like zip codes, ids, and some product names. See http://lucene.apache.org/core/4_10_3/analyzers-common/org/apache/lucene/analysis/core/KeywordAnalyzer.html ,
pattern: Flexibly separates text into terms via a regular expression pattern. See http://lucene.apache.org/core/4_10_3/analyzers-common/org/apache/lucene/analysis/miscellaneous/PatternAnalyzer.html ,
simple: Divides text at non-letters and converts them to lower case. See http://lucene.apache.org/core/4_10_3/analyzers-common/org/apache/lucene/analysis/core/SimpleAnalyzer.html ,
stop: Divides text at non-letters; Applies the lowercase and stopword token filters. See http://lucene.apache.org/core/4_10_3/analyzers-common/org/apache/lucene/analysis/core/StopAnalyzer.html ,
whitespace: An analyzer that uses the whitespace tokenizer. See http://lucene.apache.org/core/4_10_3/analyzers-common/org/apache/lucene/analysis/core/WhitespaceAnalyzer.html ,
}
,
Required: False ,
}
enum ,
tokenizer:
{
Description: The name of the tokenizer to use to break the given text. If this parameter is not specified, you must specify an analyzer instead. The tokenizer and analyzer parameters are mutually exclusive. ,
Enum:
{
classic: Grammar-based tokenizer that is suitable for processing most European-language documents. See http://lucene.apache.org/core/4_10_3/analyzers-common/org/apache/lucene/analysis/standard/ClassicTokenizer.html ,
edgeNGram: Tokenizes the input from an edge into n-grams of the given size(s). See https://lucene.apache.org/core/4_10_3/analyzers-common/org/apache/lucene/analysis/ngram/EdgeNGramTokenizer.html ,
keyword_v2: Emits the entire input as a single token. See http://lucene.apache.org/core/4_10_3/analyzers-common/org/apache/lucene/analysis/core/KeywordTokenizer.html ,
letter: Divides text at non-letters. See http://lucene.apache.org/core/4_10_3/analyzers-common/org/apache/lucene/analysis/core/LetterTokenizer.html ,
lowercase: Divides text at non-letters and converts them to lower case. See http://lucene.apache.org/core/4_10_3/analyzers-common/org/apache/lucene/analysis/core/LowerCaseTokenizer.html ,
microsoft_language_tokenizer: Divides text using language-specific rules. ,
microsoft_language_stemming_tokenizer: Divides text using language-specific rules and reduces words to their base forms. ,
nGram: Tokenizes the input into n-grams of the given size(s). See http://lucene.apache.org/core/4_10_3/analyzers-common/org/apache/lucene/analysis/ngram/NGramTokenizer.html ,
path_hierarchy_v2: Tokenizer for path-like hierarchies. See http://lucene.apache.org/core/4_10_3/analyzers-common/org/apache/lucene/analysis/path/PathHierarchyTokenizer.html ,
pattern: Tokenizer that uses regex pattern matching to construct distinct tokens. See http://lucene.apache.org/core/4_10_3/analyzers-common/org/apache/lucene/analysis/pattern/PatternTokenizer.html ,
standard_v2: Standard Lucene analyzer; Composed of the standard tokenizer, lowercase filter and stop filter. See http://lucene.apache.org/core/4_10_3/analyzers-common/org/apache/lucene/analysis/standard/StandardTokenizer.html ,
uax_url_email: Tokenizes urls and emails as one token. See http://lucene.apache.org/core/4_10_3/analyzers-common/org/apache/lucene/analysis/standard/UAX29URLEmailTokenizer.html ,
whitespace: Divides text at whitespace. See http://lucene.apache.org/core/4_10_3/analyzers-common/org/apache/lucene/analysis/core/WhitespaceTokenizer.html ,
}
,
Required: False ,
}
enum ,
normalizer:
{
Description: The name of the normalizer to use to normalize the given text. ,
Enum:
{
asciifolding: Converts alphabetic, numeric, and symbolic Unicode characters which are not in the first 127 ASCII characters (the "Basic Latin" Unicode block) into their ASCII equivalents, if such equivalents exist. See http://lucene.apache.org/core/4_10_3/analyzers-common/org/apache/lucene/analysis/miscellaneous/ASCIIFoldingFilter.html ,
elision: Removes elisions. For example, "l'avion" (the plane) will be converted to "avion" (plane). See http://lucene.apache.org/core/4_10_3/analyzers-common/org/apache/lucene/analysis/util/ElisionFilter.html ,
lowercase: Normalizes token text to lowercase. See https://lucene.apache.org/core/6_6_1/analyzers-common/org/apache/lucene/analysis/core/LowerCaseFilter.html ,
standard: Standard normalizer, which consists of lowercase and asciifolding. See http://lucene.apache.org/core/4_10_3/analyzers-common/org/apache/lucene/analysis/reverse/ReverseStringFilter.html ,
uppercase: Normalizes token text to uppercase. See https://lucene.apache.org/core/6_6_1/analyzers-common/org/apache/lucene/analysis/core/UpperCaseFilter.html ,
}
,
Required: False ,
}
enum ,
tokenFilters:
{
Description: An optional list of token filters to use when breaking the given text. This parameter can only be set when using the tokenizer parameter. ,
Required: False ,
}
[
string ,
]
,
charFilters:
{
Description: An optional list of character filters to use when breaking the given text. This parameter can only be set when using the tokenizer parameter. ,
Required: False ,
}
[
string ,
]
,
}
,
x-ms-client-request-id:
{
Description: The tracking ID sent with the request to help with debugging. ,
Format: uuid ,
Required: False ,
}
string ,
api-version:
{
Description: Client Api Version. ,
Required: True ,
}
string ,
}

⚐ Response (200)

{
tokens:
{
Description: The list of tokens returned by the analyzer specified in the request. ,
Required: True ,
}
[
{
token:
{
Description: The token returned by the analyzer. ,
Required: True ,
}
string ,
startOffset:
{
Description: The index of the first character of the token in the input text. ,
Format: int32 ,
Required: True ,
}
integer ,
endOffset:
{
Description: The index of the last character of the token in the input text. ,
Format: int32 ,
Required: True ,
}
integer ,
position:
{
Description: The position of the token in the input text relative to other tokens. The first token in the input text has position 0, the next has position 1, and so on. Depending on the analyzer used, some tokens might have the same position, for example if they are synonyms of each other. ,
Format: int32 ,
Required: True ,
}
integer ,
}
,
]
,
}

⚐ Response (default)

{
error:
{
Description: The error object. ,
Required: False ,
}
{
code:
{
Description: The error code. ,
Required: False ,
}
string ,
message:
{
Description: The error message. ,
Required: False ,
}
string ,
target:
{
Description: The error target. ,
Required: False ,
}
string ,
details:
{
Description: The error details. ,
Required: False ,
}
[
string ,
]
,
additionalInfo:
{
Description: The error additional info. ,
Required: False ,
}
[
{
type:
{
Description: The additional info type. ,
Required: False ,
}
string ,
info:
{
Description: The additional info. ,
Required: False ,
}
object ,
}
,
]
,
}
,
}
GetServiceStatistics (new)
Description :  Gets service level statistics for a search service.
Reference :  Link ¶

⚼ Request

GET:  /servicestats
{
x-ms-client-request-id:
{
Description: The tracking ID sent with the request to help with debugging. ,
Format: uuid ,
Required: False ,
}
string ,
api-version:
{
Description: Client Api Version. ,
Required: True ,
}
string ,
}

⚐ Response (200)

{
counters:
{
Description: Service level resource counters. ,
Required: True ,
}
{
documentCount:
{
Description: Total number of documents across all indexes in the service. ,
Required: True ,
}
{
usage:
{
Description: The resource usage amount. ,
Format: int64 ,
Required: True ,
}
integer ,
quota:
{
Description: The resource amount quota. ,
Format: int64 ,
Required: False ,
}
integer ,
}
,
indexesCount:
{
Description: Total number of indexes. ,
Required: True ,
}
{
usage:
{
Description: The resource usage amount. ,
Format: int64 ,
Required: True ,
}
integer ,
quota:
{
Description: The resource amount quota. ,
Format: int64 ,
Required: False ,
}
integer ,
}
,
indexersCount:
{
Description: Total number of indexers. ,
Required: True ,
}
{
usage:
{
Description: The resource usage amount. ,
Format: int64 ,
Required: True ,
}
integer ,
quota:
{
Description: The resource amount quota. ,
Format: int64 ,
Required: False ,
}
integer ,
}
,
dataSourcesCount:
{
Description: Total number of data sources. ,
Required: True ,
}
{
usage:
{
Description: The resource usage amount. ,
Format: int64 ,
Required: True ,
}
integer ,
quota:
{
Description: The resource amount quota. ,
Format: int64 ,
Required: False ,
}
integer ,
}
,
storageSize:
{
Description: Total size of used storage in bytes. ,
Required: True ,
}
{
usage:
{
Description: The resource usage amount. ,
Format: int64 ,
Required: True ,
}
integer ,
quota:
{
Description: The resource amount quota. ,
Format: int64 ,
Required: False ,
}
integer ,
}
,
synonymMaps:
{
Description: Total number of synonym maps. ,
Required: True ,
}
{
usage:
{
Description: The resource usage amount. ,
Format: int64 ,
Required: True ,
}
integer ,
quota:
{
Description: The resource amount quota. ,
Format: int64 ,
Required: False ,
}
integer ,
}
,
skillsetCount:
{
Description: Total number of skillsets. ,
Required: True ,
}
{
usage:
{
Description: The resource usage amount. ,
Format: int64 ,
Required: True ,
}
integer ,
quota:
{
Description: The resource amount quota. ,
Format: int64 ,
Required: False ,
}
integer ,
}
,
vectorIndexSize:
{
Description: Total memory consumption of all vector indexes within the service, in bytes. ,
Required: True ,
}
{
usage:
{
Description: The resource usage amount. ,
Format: int64 ,
Required: True ,
}
integer ,
quota:
{
Description: The resource amount quota. ,
Format: int64 ,
Required: False ,
}
integer ,
}
,
}
,
limits:
{
Description: Service level general limits. ,
Required: True ,
}
{
maxFieldsPerIndex:
{
Description: The maximum allowed fields per index. ,
Format: int32 ,
Required: False ,
}
integer ,
maxFieldNestingDepthPerIndex:
{
Description: The maximum depth which you can nest sub-fields in an index, including the top-level complex field. For example, a/b/c has a nesting depth of 3. ,
Format: int32 ,
Required: False ,
}
integer ,
maxComplexCollectionFieldsPerIndex:
{
Description: The maximum number of fields of type Collection(Edm.ComplexType) allowed in an index. ,
Format: int32 ,
Required: False ,
}
integer ,
maxComplexObjectsInCollectionsPerDocument:
{
Description: The maximum number of objects in complex collections allowed per document. ,
Format: int32 ,
Required: False ,
}
integer ,
maxStoragePerIndex:
{
Description: The maximum amount of storage in bytes allowed per index. ,
Format: int64 ,
Required: False ,
}
integer ,
}
,
}

⚐ Response (default)

{
error:
{
Description: The error object. ,
Required: False ,
}
{
code:
{
Description: The error code. ,
Required: False ,
}
string ,
message:
{
Description: The error message. ,
Required: False ,
}
string ,
target:
{
Description: The error target. ,
Required: False ,
}
string ,
details:
{
Description: The error details. ,
Required: False ,
}
[
string ,
]
,
additionalInfo:
{
Description: The error additional info. ,
Required: False ,
}
[
{
type:
{
Description: The additional info type. ,
Required: False ,
}
string ,
info:
{
Description: The additional info. ,
Required: False ,
}
object ,
}
,
]
,
}
,
}