Azure.Search (preview:2024-11-01)

2025/01/09 • 5 updated methods

Indexes_Create (updated)
Description :  Creates a new search index.
Reference :  Link ¶

⚶ Changes

{
  "#id": "Indexes_Create",
  "$parameters": {
    "index": {
      "$properties": {
        "vectorSearch": [
          {
            "vectorizers": {
              "$properties": [
                {
                  "#name": "kind",
                  "Enum": {
                    "new": [
                      [
                        "azureOpenAI",
                        "Generate embeddings using an Azure OpenAI resource at query time."
                      ],
                      [
                        "customWebApi",
                        "Generate embeddings using a custom web endpoint at query time."
                      ],
                      [
                        "aiServicesVision",
                        "Generate embeddings for an image or text input at query time using the Azure AI Services Vision Vectorize API."
                      ],
                      [
                        "aml",
                        "Generate embeddings using an Azure Machine Learning endpoint deployed via the Azure AI Foundry Model Catalog at query time."
                      ]
                    ],
                    "old": [
                      [
                        "azureOpenAI",
                        "Generate embeddings using an Azure OpenAI resource at query time."
                      ],
                      [
                        "customWebApi",
                        "Generate embeddings using a custom web endpoint at query time."
                      ],
                      [
                        "aiServicesVision",
                        "Generate embeddings for an image or text input at query time using the Azure AI Services Vision Vectorize API."
                      ],
                      [
                        "aml",
                        "Generate embeddings using an Azure Machine Learning endpoint deployed via the Azure AI Studio Model Catalog at query time."
                      ]
                    ]
                  }
                }
              ]
            }
          }
        ]
      }
    }
  },
  "$responses": {
    "201": {
      "$properties": {
        "vectorSearch": [
          {
            "vectorizers": {
              "$properties": [
                {
                  "#name": "kind",
                  "Enum": {
                    "new": [
                      [
                        "azureOpenAI",
                        "Generate embeddings using an Azure OpenAI resource at query time."
                      ],
                      [
                        "customWebApi",
                        "Generate embeddings using a custom web endpoint at query time."
                      ],
                      [
                        "aiServicesVision",
                        "Generate embeddings for an image or text input at query time using the Azure AI Services Vision Vectorize API."
                      ],
                      [
                        "aml",
                        "Generate embeddings using an Azure Machine Learning endpoint deployed via the Azure AI Foundry Model Catalog at query time."
                      ]
                    ],
                    "old": [
                      [
                        "azureOpenAI",
                        "Generate embeddings using an Azure OpenAI resource at query time."
                      ],
                      [
                        "customWebApi",
                        "Generate embeddings using a custom web endpoint at query time."
                      ],
                      [
                        "aiServicesVision",
                        "Generate embeddings for an image or text input at query time using the Azure AI Services Vision Vectorize API."
                      ],
                      [
                        "aml",
                        "Generate embeddings using an Azure Machine Learning endpoint deployed via the Azure AI Studio Model Catalog at query time."
                      ]
                    ]
                  }
                }
              ]
            }
          }
        ]
      }
    }
  }
}

⚼ Request

POST:  /indexes
{
index:
{
Description: The definition of the index to create. ,
Required: True ,
}
{
name:
{
Description: The name of the index. ,
Required: True ,
}
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 ,
}
,
identity:
{
Description: An explicit managed identity to use for this encryption key. If not specified and the access credentials property is null, the system-assigned managed identity is used. On update to the resource, if the explicit identity is unspecified, it remains unchanged. If "none" is specified, the value of this property is cleared. ,
Required: False ,
}
{
@odata.type:
{
Description: A URI fragment specifying the type of identity. ,
Required: True ,
}
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 ,
}
,
]
,
}
,
}
,
]
,
}
,
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. ,
aiServicesVision: Generate embeddings for an image or text input at query time using the Azure AI Services Vision Vectorize API. ,
aml: Generate embeddings using an Azure Machine Learning endpoint deployed via the Azure AI Foundry Model Catalog 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 ,
rerankWithOriginalVectors:
{
Description: If set to true, once the ordered set of results calculated using compressed vectors are obtained, they will be reranked again by recalculating the full-precision similarity scores. This will improve recall at the expense of latency. ,
Required: False ,
}
boolean ,
defaultOversampling:
{
Description: Default oversampling factor. Oversampling will internally request more documents (specified by this multiplier) in the initial search. This increases the set of results that will be reranked using recomputed similarity scores from full-precision vectors. Minimum value is 1, meaning no oversampling (1x). This parameter can only be set when rerankWithOriginalVectors is true. Higher values improve recall at the expense of latency. ,
Format: double ,
Required: False ,
}
number ,
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 ,
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 ,
}
,
identity:
{
Description: An explicit managed identity to use for this encryption key. If not specified and the access credentials property is null, the system-assigned managed identity is used. On update to the resource, if the explicit identity is unspecified, it remains unchanged. If "none" is specified, the value of this property is cleared. ,
Required: False ,
}
{
@odata.type:
{
Description: A URI fragment specifying the type of identity. ,
Required: True ,
}
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 ,
}
,
]
,
}
,
}
,
]
,
}
,
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. ,
aiServicesVision: Generate embeddings for an image or text input at query time using the Azure AI Services Vision Vectorize API. ,
aml: Generate embeddings using an Azure Machine Learning endpoint deployed via the Azure AI Foundry Model Catalog 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 ,
rerankWithOriginalVectors:
{
Description: If set to true, once the ordered set of results calculated using compressed vectors are obtained, they will be reranked again by recalculating the full-precision similarity scores. This will improve recall at the expense of latency. ,
Required: False ,
}
boolean ,
defaultOversampling:
{
Description: Default oversampling factor. Oversampling will internally request more documents (specified by this multiplier) in the initial search. This increases the set of results that will be reranked using recomputed similarity scores from full-precision vectors. Minimum value is 1, meaning no oversampling (1x). This parameter can only be set when rerankWithOriginalVectors is true. Higher values improve recall at the expense of latency. ,
Format: double ,
Required: False ,
}
number ,
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 (updated)
Description :  Lists all indexes available for a search service.
Reference :  Link ¶

⚶ Changes

{
  "#id": "Indexes_List",
  "$responses": {
    "200": {
      "$properties": {
        "value": {
          "$properties": {
            "vectorSearch": [
              {
                "vectorizers": {
                  "$properties": [
                    {
                      "#name": "kind",
                      "Enum": {
                        "new": [
                          [
                            "azureOpenAI",
                            "Generate embeddings using an Azure OpenAI resource at query time."
                          ],
                          [
                            "customWebApi",
                            "Generate embeddings using a custom web endpoint at query time."
                          ],
                          [
                            "aiServicesVision",
                            "Generate embeddings for an image or text input at query time using the Azure AI Services Vision Vectorize API."
                          ],
                          [
                            "aml",
                            "Generate embeddings using an Azure Machine Learning endpoint deployed via the Azure AI Foundry Model Catalog at query time."
                          ]
                        ],
                        "old": [
                          [
                            "azureOpenAI",
                            "Generate embeddings using an Azure OpenAI resource at query time."
                          ],
                          [
                            "customWebApi",
                            "Generate embeddings using a custom web endpoint at query time."
                          ],
                          [
                            "aiServicesVision",
                            "Generate embeddings for an image or text input at query time using the Azure AI Services Vision Vectorize API."
                          ],
                          [
                            "aml",
                            "Generate embeddings using an Azure Machine Learning endpoint deployed via the Azure AI Studio Model Catalog at query time."
                          ]
                        ]
                      }
                    }
                  ]
                }
              }
            ]
          }
        }
      }
    }
  }
}

⚼ 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 ,
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 ,
}
,
identity:
{
Description: An explicit managed identity to use for this encryption key. If not specified and the access credentials property is null, the system-assigned managed identity is used. On update to the resource, if the explicit identity is unspecified, it remains unchanged. If "none" is specified, the value of this property is cleared. ,
Required: False ,
}
{
@odata.type:
{
Description: A URI fragment specifying the type of identity. ,
Required: True ,
}
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 ,
}
,
]
,
}
,
}
,
]
,
}
,
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. ,
aiServicesVision: Generate embeddings for an image or text input at query time using the Azure AI Services Vision Vectorize API. ,
aml: Generate embeddings using an Azure Machine Learning endpoint deployed via the Azure AI Foundry Model Catalog 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 ,
rerankWithOriginalVectors:
{
Description: If set to true, once the ordered set of results calculated using compressed vectors are obtained, they will be reranked again by recalculating the full-precision similarity scores. This will improve recall at the expense of latency. ,
Required: False ,
}
boolean ,
defaultOversampling:
{
Description: Default oversampling factor. Oversampling will internally request more documents (specified by this multiplier) in the initial search. This increases the set of results that will be reranked using recomputed similarity scores from full-precision vectors. Minimum value is 1, meaning no oversampling (1x). This parameter can only be set when rerankWithOriginalVectors is true. Higher values improve recall at the expense of latency. ,
Format: double ,
Required: False ,
}
number ,
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 (updated)
Description :  Creates a new search index or updates an index if it already exists.
Reference :  Link ¶

⚶ Changes

{
  "#id": "Indexes_CreateOrUpdate",
  "$parameters": {
    "index": {
      "$properties": {
        "vectorSearch": [
          {
            "vectorizers": {
              "$properties": [
                {
                  "#name": "kind",
                  "Enum": {
                    "new": [
                      [
                        "azureOpenAI",
                        "Generate embeddings using an Azure OpenAI resource at query time."
                      ],
                      [
                        "customWebApi",
                        "Generate embeddings using a custom web endpoint at query time."
                      ],
                      [
                        "aiServicesVision",
                        "Generate embeddings for an image or text input at query time using the Azure AI Services Vision Vectorize API."
                      ],
                      [
                        "aml",
                        "Generate embeddings using an Azure Machine Learning endpoint deployed via the Azure AI Foundry Model Catalog at query time."
                      ]
                    ],
                    "old": [
                      [
                        "azureOpenAI",
                        "Generate embeddings using an Azure OpenAI resource at query time."
                      ],
                      [
                        "customWebApi",
                        "Generate embeddings using a custom web endpoint at query time."
                      ],
                      [
                        "aiServicesVision",
                        "Generate embeddings for an image or text input at query time using the Azure AI Services Vision Vectorize API."
                      ],
                      [
                        "aml",
                        "Generate embeddings using an Azure Machine Learning endpoint deployed via the Azure AI Studio Model Catalog at query time."
                      ]
                    ]
                  }
                }
              ]
            }
          }
        ]
      }
    }
  },
  "$responses": {
    "200": {
      "$properties": {
        "vectorSearch": [
          {
            "vectorizers": {
              "$properties": [
                {
                  "#name": "kind",
                  "Enum": {
                    "new": [
                      [
                        "azureOpenAI",
                        "Generate embeddings using an Azure OpenAI resource at query time."
                      ],
                      [
                        "customWebApi",
                        "Generate embeddings using a custom web endpoint at query time."
                      ],
                      [
                        "aiServicesVision",
                        "Generate embeddings for an image or text input at query time using the Azure AI Services Vision Vectorize API."
                      ],
                      [
                        "aml",
                        "Generate embeddings using an Azure Machine Learning endpoint deployed via the Azure AI Foundry Model Catalog at query time."
                      ]
                    ],
                    "old": [
                      [
                        "azureOpenAI",
                        "Generate embeddings using an Azure OpenAI resource at query time."
                      ],
                      [
                        "customWebApi",
                        "Generate embeddings using a custom web endpoint at query time."
                      ],
                      [
                        "aiServicesVision",
                        "Generate embeddings for an image or text input at query time using the Azure AI Services Vision Vectorize API."
                      ],
                      [
                        "aml",
                        "Generate embeddings using an Azure Machine Learning endpoint deployed via the Azure AI Studio Model Catalog at query time."
                      ]
                    ]
                  }
                }
              ]
            }
          }
        ]
      }
    },
    "201": {
      "$properties": {
        "vectorSearch": [
          {
            "vectorizers": {
              "$properties": [
                {
                  "#name": "kind",
                  "Enum": {
                    "new": [
                      [
                        "azureOpenAI",
                        "Generate embeddings using an Azure OpenAI resource at query time."
                      ],
                      [
                        "customWebApi",
                        "Generate embeddings using a custom web endpoint at query time."
                      ],
                      [
                        "aiServicesVision",
                        "Generate embeddings for an image or text input at query time using the Azure AI Services Vision Vectorize API."
                      ],
                      [
                        "aml",
                        "Generate embeddings using an Azure Machine Learning endpoint deployed via the Azure AI Foundry Model Catalog at query time."
                      ]
                    ],
                    "old": [
                      [
                        "azureOpenAI",
                        "Generate embeddings using an Azure OpenAI resource at query time."
                      ],
                      [
                        "customWebApi",
                        "Generate embeddings using a custom web endpoint at query time."
                      ],
                      [
                        "aiServicesVision",
                        "Generate embeddings for an image or text input at query time using the Azure AI Services Vision Vectorize API."
                      ],
                      [
                        "aml",
                        "Generate embeddings using an Azure Machine Learning endpoint deployed via the Azure AI Studio Model Catalog at query time."
                      ]
                    ]
                  }
                }
              ]
            }
          }
        ]
      }
    }
  }
}

⚼ 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 ,
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 ,
}
,
identity:
{
Description: An explicit managed identity to use for this encryption key. If not specified and the access credentials property is null, the system-assigned managed identity is used. On update to the resource, if the explicit identity is unspecified, it remains unchanged. If "none" is specified, the value of this property is cleared. ,
Required: False ,
}
{
@odata.type:
{
Description: A URI fragment specifying the type of identity. ,
Required: True ,
}
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 ,
}
,
]
,
}
,
}
,
]
,
}
,
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. ,
aiServicesVision: Generate embeddings for an image or text input at query time using the Azure AI Services Vision Vectorize API. ,
aml: Generate embeddings using an Azure Machine Learning endpoint deployed via the Azure AI Foundry Model Catalog 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 ,
rerankWithOriginalVectors:
{
Description: If set to true, once the ordered set of results calculated using compressed vectors are obtained, they will be reranked again by recalculating the full-precision similarity scores. This will improve recall at the expense of latency. ,
Required: False ,
}
boolean ,
defaultOversampling:
{
Description: Default oversampling factor. Oversampling will internally request more documents (specified by this multiplier) in the initial search. This increases the set of results that will be reranked using recomputed similarity scores from full-precision vectors. Minimum value is 1, meaning no oversampling (1x). This parameter can only be set when rerankWithOriginalVectors is true. Higher values improve recall at the expense of latency. ,
Format: double ,
Required: False ,
}
number ,
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 ,
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 ,
}
,
identity:
{
Description: An explicit managed identity to use for this encryption key. If not specified and the access credentials property is null, the system-assigned managed identity is used. On update to the resource, if the explicit identity is unspecified, it remains unchanged. If "none" is specified, the value of this property is cleared. ,
Required: False ,
}
{
@odata.type:
{
Description: A URI fragment specifying the type of identity. ,
Required: True ,
}
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 ,
}
,
]
,
}
,
}
,
]
,
}
,
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. ,
aiServicesVision: Generate embeddings for an image or text input at query time using the Azure AI Services Vision Vectorize API. ,
aml: Generate embeddings using an Azure Machine Learning endpoint deployed via the Azure AI Foundry Model Catalog 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 ,
rerankWithOriginalVectors:
{
Description: If set to true, once the ordered set of results calculated using compressed vectors are obtained, they will be reranked again by recalculating the full-precision similarity scores. This will improve recall at the expense of latency. ,
Required: False ,
}
boolean ,
defaultOversampling:
{
Description: Default oversampling factor. Oversampling will internally request more documents (specified by this multiplier) in the initial search. This increases the set of results that will be reranked using recomputed similarity scores from full-precision vectors. Minimum value is 1, meaning no oversampling (1x). This parameter can only be set when rerankWithOriginalVectors is true. Higher values improve recall at the expense of latency. ,
Format: double ,
Required: False ,
}
number ,
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 ,
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 ,
}
,
identity:
{
Description: An explicit managed identity to use for this encryption key. If not specified and the access credentials property is null, the system-assigned managed identity is used. On update to the resource, if the explicit identity is unspecified, it remains unchanged. If "none" is specified, the value of this property is cleared. ,
Required: False ,
}
{
@odata.type:
{
Description: A URI fragment specifying the type of identity. ,
Required: True ,
}
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 ,
}
,
]
,
}
,
}
,
]
,
}
,
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. ,
aiServicesVision: Generate embeddings for an image or text input at query time using the Azure AI Services Vision Vectorize API. ,
aml: Generate embeddings using an Azure Machine Learning endpoint deployed via the Azure AI Foundry Model Catalog 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 ,
rerankWithOriginalVectors:
{
Description: If set to true, once the ordered set of results calculated using compressed vectors are obtained, they will be reranked again by recalculating the full-precision similarity scores. This will improve recall at the expense of latency. ,
Required: False ,
}
boolean ,
defaultOversampling:
{
Description: Default oversampling factor. Oversampling will internally request more documents (specified by this multiplier) in the initial search. This increases the set of results that will be reranked using recomputed similarity scores from full-precision vectors. Minimum value is 1, meaning no oversampling (1x). This parameter can only be set when rerankWithOriginalVectors is true. Higher values improve recall at the expense of latency. ,
Format: double ,
Required: False ,
}
number ,
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_Get (updated)
Description :  Retrieves an index definition.
Reference :  Link ¶

⚶ Changes

{
  "#id": "Indexes_Get",
  "$responses": {
    "200": {
      "$properties": {
        "vectorSearch": [
          {
            "vectorizers": {
              "$properties": [
                {
                  "#name": "kind",
                  "Enum": {
                    "new": [
                      [
                        "azureOpenAI",
                        "Generate embeddings using an Azure OpenAI resource at query time."
                      ],
                      [
                        "customWebApi",
                        "Generate embeddings using a custom web endpoint at query time."
                      ],
                      [
                        "aiServicesVision",
                        "Generate embeddings for an image or text input at query time using the Azure AI Services Vision Vectorize API."
                      ],
                      [
                        "aml",
                        "Generate embeddings using an Azure Machine Learning endpoint deployed via the Azure AI Foundry Model Catalog at query time."
                      ]
                    ],
                    "old": [
                      [
                        "azureOpenAI",
                        "Generate embeddings using an Azure OpenAI resource at query time."
                      ],
                      [
                        "customWebApi",
                        "Generate embeddings using a custom web endpoint at query time."
                      ],
                      [
                        "aiServicesVision",
                        "Generate embeddings for an image or text input at query time using the Azure AI Services Vision Vectorize API."
                      ],
                      [
                        "aml",
                        "Generate embeddings using an Azure Machine Learning endpoint deployed via the Azure AI Studio Model Catalog at query time."
                      ]
                    ]
                  }
                }
              ]
            }
          }
        ]
      }
    }
  }
}

⚼ 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 ,
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 ,
}
,
identity:
{
Description: An explicit managed identity to use for this encryption key. If not specified and the access credentials property is null, the system-assigned managed identity is used. On update to the resource, if the explicit identity is unspecified, it remains unchanged. If "none" is specified, the value of this property is cleared. ,
Required: False ,
}
{
@odata.type:
{
Description: A URI fragment specifying the type of identity. ,
Required: True ,
}
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 ,
}
,
]
,
}
,
}
,
]
,
}
,
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. ,
aiServicesVision: Generate embeddings for an image or text input at query time using the Azure AI Services Vision Vectorize API. ,
aml: Generate embeddings using an Azure Machine Learning endpoint deployed via the Azure AI Foundry Model Catalog 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 ,
rerankWithOriginalVectors:
{
Description: If set to true, once the ordered set of results calculated using compressed vectors are obtained, they will be reranked again by recalculating the full-precision similarity scores. This will improve recall at the expense of latency. ,
Required: False ,
}
boolean ,
defaultOversampling:
{
Description: Default oversampling factor. Oversampling will internally request more documents (specified by this multiplier) in the initial search. This increases the set of results that will be reranked using recomputed similarity scores from full-precision vectors. Minimum value is 1, meaning no oversampling (1x). This parameter can only be set when rerankWithOriginalVectors is true. Higher values improve recall at the expense of latency. ,
Format: double ,
Required: False ,
}
number ,
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_Analyze (updated)
Description :  Shows how an analyzer breaks text into tokens.
Reference :  Link ¶

⚶ Changes

{
  "#id": "Indexes_Analyze",
  "$parameters": {
    "request": {
      "$properties": {
        "tokenFilters": {
          "Enum": {
            "new": [
              [
                "arabic_normalization",
                "A token filter that applies the Arabic normalizer to normalize the orthography. See http://lucene.apache.org/core/4_10_3/analyzers-common/org/apache/lucene/analysis/ar/ArabicNormalizationFilter.html"
              ],
              [
                "apostrophe",
                "Strips all characters after an apostrophe (including the apostrophe itself). See http://lucene.apache.org/core/4_10_3/analyzers-common/org/apache/lucene/analysis/tr/ApostropheFilter.html"
              ],
              [
                "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"
              ],
              [
                "cjk_bigram",
                "Forms bigrams of CJK terms that are generated from the standard tokenizer. See http://lucene.apache.org/core/4_10_3/analyzers-common/org/apache/lucene/analysis/cjk/CJKBigramFilter.html"
              ],
              [
                "cjk_width",
                "Normalizes CJK width differences. Folds full-width ASCII variants into the equivalent basic Latin, and half-width Katakana variants into the equivalent Kana. See http://lucene.apache.org/core/4_10_3/analyzers-common/org/apache/lucene/analysis/cjk/CJKWidthFilter.html"
              ],
              [
                "classic",
                "Removes English possessives, and dots from acronyms. See http://lucene.apache.org/core/4_10_3/analyzers-common/org/apache/lucene/analysis/standard/ClassicFilter.html"
              ],
              [
                "common_grams",
                "Construct bigrams for frequently occurring terms while indexing. Single terms are still indexed too, with bigrams overlaid. See http://lucene.apache.org/core/4_10_3/analyzers-common/org/apache/lucene/analysis/commongrams/CommonGramsFilter.html"
              ],
              [
                "edgeNGram_v2",
                "Generates n-grams of the given size(s) starting from the front or the back of an input token. See http://lucene.apache.org/core/4_10_3/analyzers-common/org/apache/lucene/analysis/ngram/EdgeNGramTokenFilter.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"
              ],
              [
                "german_normalization",
                "Normalizes German characters according to the heuristics of the German2 snowball algorithm. See http://lucene.apache.org/core/4_10_3/analyzers-common/org/apache/lucene/analysis/de/GermanNormalizationFilter.html"
              ],
              [
                "hindi_normalization",
                "Normalizes text in Hindi to remove some differences in spelling variations. See http://lucene.apache.org/core/4_10_3/analyzers-common/org/apache/lucene/analysis/hi/HindiNormalizationFilter.html"
              ],
              [
                "indic_normalization",
                "Normalizes the Unicode representation of text in Indian languages. See http://lucene.apache.org/core/4_10_3/analyzers-common/org/apache/lucene/analysis/in/IndicNormalizationFilter.html"
              ],
              [
                "keyword_repeat",
                "Emits each incoming token twice, once as keyword and once as non-keyword. See http://lucene.apache.org/core/4_10_3/analyzers-common/org/apache/lucene/analysis/miscellaneous/KeywordRepeatFilter.html"
              ],
              [
                "kstem",
                "A high-performance kstem filter for English. See http://lucene.apache.org/core/4_10_3/analyzers-common/org/apache/lucene/analysis/en/KStemFilter.html"
              ],
              [
                "length",
                "Removes words that are too long or too short. See http://lucene.apache.org/core/4_10_3/analyzers-common/org/apache/lucene/analysis/miscellaneous/LengthFilter.html"
              ],
              [
                "limit",
                "Limits the number of tokens while indexing. See http://lucene.apache.org/core/4_10_3/analyzers-common/org/apache/lucene/analysis/miscellaneous/LimitTokenCountFilter.html"
              ],
              [
                "lowercase",
                "Normalizes token text to lower case. See https://lucene.apache.org/core/6_6_1/analyzers-common/org/apache/lucene/analysis/core/LowerCaseFilter.html"
              ],
              [
                "nGram_v2",
                "Generates n-grams of the given size(s). See http://lucene.apache.org/core/4_10_3/analyzers-common/org/apache/lucene/analysis/ngram/NGramTokenFilter.html"
              ],
              [
                "persian_normalization",
                "Applies normalization for Persian. See http://lucene.apache.org/core/4_10_3/analyzers-common/org/apache/lucene/analysis/fa/PersianNormalizationFilter.html"
              ],
              [
                "phonetic",
                "Create tokens for phonetic matches. See https://lucene.apache.org/core/4_10_3/analyzers-phonetic/org/apache/lucene/analysis/phonetic/package-tree.html"
              ],
              [
                "porter_stem",
                "Uses the Porter stemming algorithm to transform the token stream. See http://tartarus.org/~martin/PorterStemmer"
              ],
              [
                "reverse",
                "Reverses the token string. See http://lucene.apache.org/core/4_10_3/analyzers-common/org/apache/lucene/analysis/reverse/ReverseStringFilter.html"
              ],
              [
                "scandinavian_normalization",
                "Normalizes use of the interchangeable Scandinavian characters. See http://lucene.apache.org/core/4_10_3/analyzers-common/org/apache/lucene/analysis/miscellaneous/ScandinavianNormalizationFilter.html"
              ],
              [
                "scandinavian_folding",
                "Folds Scandinavian characters \u00e5\u00c5\u00e4\u00e6\u00c4\u00c6->a and \u00f6\u00d6\u00f8\u00d8->o. It also discriminates against use of double vowels aa, ae, ao, oe and oo, leaving just the first one. See http://lucene.apache.org/core/4_10_3/analyzers-common/org/apache/lucene/analysis/miscellaneous/ScandinavianFoldingFilter.html"
              ],
              [
                "shingle",
                "Creates combinations of tokens as a single token. See http://lucene.apache.org/core/4_10_3/analyzers-common/org/apache/lucene/analysis/shingle/ShingleFilter.html"
              ],
              [
                "snowball",
                "A filter that stems words using a Snowball-generated stemmer. See http://lucene.apache.org/core/4_10_3/analyzers-common/org/apache/lucene/analysis/snowball/SnowballFilter.html"
              ],
              [
                "sorani_normalization",
                "Normalizes the Unicode representation of Sorani text. See http://lucene.apache.org/core/4_10_3/analyzers-common/org/apache/lucene/analysis/ckb/SoraniNormalizationFilter.html"
              ],
              [
                "stemmer",
                "Language specific stemming filter. See https://learn.microsoft.com/rest/api/searchservice/Custom-analyzers-in-Azure-Search#TokenFilters"
              ],
              [
                "stopwords",
                "Removes stop words from a token stream. See http://lucene.apache.org/core/4_10_3/analyzers-common/org/apache/lucene/analysis/core/StopFilter.html"
              ],
              [
                "trim",
                "Trims leading and trailing whitespace from tokens. See http://lucene.apache.org/core/4_10_3/analyzers-common/org/apache/lucene/analysis/miscellaneous/TrimFilter.html"
              ],
              [
                "truncate",
                "Truncates the terms to a specific length. See http://lucene.apache.org/core/4_10_3/analyzers-common/org/apache/lucene/analysis/miscellaneous/TruncateTokenFilter.html"
              ],
              [
                "unique",
                "Filters out tokens with same text as the previous token. See http://lucene.apache.org/core/4_10_3/analyzers-common/org/apache/lucene/analysis/miscellaneous/RemoveDuplicatesTokenFilter.html"
              ],
              [
                "uppercase",
                "Normalizes token text to upper case. See https://lucene.apache.org/core/6_6_1/analyzers-common/org/apache/lucene/analysis/core/UpperCaseFilter.html"
              ],
              [
                "word_delimiter",
                "Splits words into subwords and performs optional transformations on subword groups."
              ]
            ],
            "old": [
              [
                "arabic_normalization",
                "A token filter that applies the Arabic normalizer to normalize the orthography. See http://lucene.apache.org/core/4_10_3/analyzers-common/org/apache/lucene/analysis/ar/ArabicNormalizationFilter.html"
              ],
              [
                "apostrophe",
                "Strips all characters after an apostrophe (including the apostrophe itself). See http://lucene.apache.org/core/4_10_3/analyzers-common/org/apache/lucene/analysis/tr/ApostropheFilter.html"
              ],
              [
                "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"
              ],
              [
                "cjk_bigram",
                "Forms bigrams of CJK terms that are generated from the standard tokenizer. See http://lucene.apache.org/core/4_10_3/analyzers-common/org/apache/lucene/analysis/cjk/CJKBigramFilter.html"
              ],
              [
                "cjk_width",
                "Normalizes CJK width differences. Folds fullwidth ASCII variants into the equivalent basic Latin, and half-width Katakana variants into the equivalent Kana. See http://lucene.apache.org/core/4_10_3/analyzers-common/org/apache/lucene/analysis/cjk/CJKWidthFilter.html"
              ],
              [
                "classic",
                "Removes English possessives, and dots from acronyms. See http://lucene.apache.org/core/4_10_3/analyzers-common/org/apache/lucene/analysis/standard/ClassicFilter.html"
              ],
              [
                "common_grams",
                "Construct bigrams for frequently occurring terms while indexing. Single terms are still indexed too, with bigrams overlaid. See http://lucene.apache.org/core/4_10_3/analyzers-common/org/apache/lucene/analysis/commongrams/CommonGramsFilter.html"
              ],
              [
                "edgeNGram_v2",
                "Generates n-grams of the given size(s) starting from the front or the back of an input token. See http://lucene.apache.org/core/4_10_3/analyzers-common/org/apache/lucene/analysis/ngram/EdgeNGramTokenFilter.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"
              ],
              [
                "german_normalization",
                "Normalizes German characters according to the heuristics of the German2 snowball algorithm. See http://lucene.apache.org/core/4_10_3/analyzers-common/org/apache/lucene/analysis/de/GermanNormalizationFilter.html"
              ],
              [
                "hindi_normalization",
                "Normalizes text in Hindi to remove some differences in spelling variations. See http://lucene.apache.org/core/4_10_3/analyzers-common/org/apache/lucene/analysis/hi/HindiNormalizationFilter.html"
              ],
              [
                "indic_normalization",
                "Normalizes the Unicode representation of text in Indian languages. See http://lucene.apache.org/core/4_10_3/analyzers-common/org/apache/lucene/analysis/in/IndicNormalizationFilter.html"
              ],
              [
                "keyword_repeat",
                "Emits each incoming token twice, once as keyword and once as non-keyword. See http://lucene.apache.org/core/4_10_3/analyzers-common/org/apache/lucene/analysis/miscellaneous/KeywordRepeatFilter.html"
              ],
              [
                "kstem",
                "A high-performance kstem filter for English. See http://lucene.apache.org/core/4_10_3/analyzers-common/org/apache/lucene/analysis/en/KStemFilter.html"
              ],
              [
                "length",
                "Removes words that are too long or too short. See http://lucene.apache.org/core/4_10_3/analyzers-common/org/apache/lucene/analysis/miscellaneous/LengthFilter.html"
              ],
              [
                "limit",
                "Limits the number of tokens while indexing. See http://lucene.apache.org/core/4_10_3/analyzers-common/org/apache/lucene/analysis/miscellaneous/LimitTokenCountFilter.html"
              ],
              [
                "lowercase",
                "Normalizes token text to lower case. See https://lucene.apache.org/core/6_6_1/analyzers-common/org/apache/lucene/analysis/core/LowerCaseFilter.html"
              ],
              [
                "nGram_v2",
                "Generates n-grams of the given size(s). See http://lucene.apache.org/core/4_10_3/analyzers-common/org/apache/lucene/analysis/ngram/NGramTokenFilter.html"
              ],
              [
                "persian_normalization",
                "Applies normalization for Persian. See http://lucene.apache.org/core/4_10_3/analyzers-common/org/apache/lucene/analysis/fa/PersianNormalizationFilter.html"
              ],
              [
                "phonetic",
                "Create tokens for phonetic matches. See https://lucene.apache.org/core/4_10_3/analyzers-phonetic/org/apache/lucene/analysis/phonetic/package-tree.html"
              ],
              [
                "porter_stem",
                "Uses the Porter stemming algorithm to transform the token stream. See http://tartarus.org/~martin/PorterStemmer"
              ],
              [
                "reverse",
                "Reverses the token string. See http://lucene.apache.org/core/4_10_3/analyzers-common/org/apache/lucene/analysis/reverse/ReverseStringFilter.html"
              ],
              [
                "scandinavian_normalization",
                "Normalizes use of the interchangeable Scandinavian characters. See http://lucene.apache.org/core/4_10_3/analyzers-common/org/apache/lucene/analysis/miscellaneous/ScandinavianNormalizationFilter.html"
              ],
              [
                "scandinavian_folding",
                "Folds Scandinavian characters \u00e5\u00c5\u00e4\u00e6\u00c4\u00c6->a and \u00f6\u00d6\u00f8\u00d8->o. It also discriminates against use of double vowels aa, ae, ao, oe and oo, leaving just the first one. See http://lucene.apache.org/core/4_10_3/analyzers-common/org/apache/lucene/analysis/miscellaneous/ScandinavianFoldingFilter.html"
              ],
              [
                "shingle",
                "Creates combinations of tokens as a single token. See http://lucene.apache.org/core/4_10_3/analyzers-common/org/apache/lucene/analysis/shingle/ShingleFilter.html"
              ],
              [
                "snowball",
                "A filter that stems words using a Snowball-generated stemmer. See http://lucene.apache.org/core/4_10_3/analyzers-common/org/apache/lucene/analysis/snowball/SnowballFilter.html"
              ],
              [
                "sorani_normalization",
                "Normalizes the Unicode representation of Sorani text. See http://lucene.apache.org/core/4_10_3/analyzers-common/org/apache/lucene/analysis/ckb/SoraniNormalizationFilter.html"
              ],
              [
                "stemmer",
                "Language specific stemming filter. See https://learn.microsoft.com/rest/api/searchservice/Custom-analyzers-in-Azure-Search#TokenFilters"
              ],
              [
                "stopwords",
                "Removes stop words from a token stream. See http://lucene.apache.org/core/4_10_3/analyzers-common/org/apache/lucene/analysis/core/StopFilter.html"
              ],
              [
                "trim",
                "Trims leading and trailing whitespace from tokens. See http://lucene.apache.org/core/4_10_3/analyzers-common/org/apache/lucene/analysis/miscellaneous/TrimFilter.html"
              ],
              [
                "truncate",
                "Truncates the terms to a specific length. See http://lucene.apache.org/core/4_10_3/analyzers-common/org/apache/lucene/analysis/miscellaneous/TruncateTokenFilter.html"
              ],
              [
                "unique",
                "Filters out tokens with same text as the previous token. See http://lucene.apache.org/core/4_10_3/analyzers-common/org/apache/lucene/analysis/miscellaneous/RemoveDuplicatesTokenFilter.html"
              ],
              [
                "uppercase",
                "Normalizes token text to upper case. See https://lucene.apache.org/core/6_6_1/analyzers-common/org/apache/lucene/analysis/core/UpperCaseFilter.html"
              ],
              [
                "word_delimiter",
                "Splits words into subwords and performs optional transformations on subword groups."
              ]
            ]
          }
        }
      }
    }
  }
}

⚼ 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 ,
}
,
]
,
}
,
}