Documents - Search Post

Reference

Service:: Search Service

API Version:: 2024-11-01-preview

Searches for documents in the index.

POST {endpoint}/indexes('{indexName}')/docs/search.post.search?api-version=2024-11-01-preview

URI Parameters

Name	In	Required	Type	Description
endpoint	path	True	string	The endpoint URL of the search service.
indexName	path	True	string	The name of the index.
api-version	query	True	string	Client Api Version.

Request Header

Name	Required	Type	Description
x-ms-client-request-id		string uuid	The tracking ID sent with the request to help with debugging.

Request Body

Name	Type	Description
answers	QueryAnswerType	A value that specifies whether answers should be returned as part of the search response.
captions	QueryCaptionType	A value that specifies whether captions should be returned as part of the search response.
count	boolean	A value that specifies whether to fetch the total count of results. Default is false. Setting this value to true may have a performance impact. Note that the count returned is an approximation.
debug	QueryDebugMode	Enables a debugging tool that can be used to further explore your reranked results.
facets	string[]	The list of facet expressions to apply to the search query. Each facet expression contains a field name, optionally followed by a comma-separated list of name:value pairs.
filter	string	The OData $filter expression to apply to the search query.
highlight	string	The comma-separated list of field names to use for hit highlights. Only searchable fields can be used for hit highlighting.
highlightPostTag	string	A string tag that is appended to hit highlights. Must be set with highlightPreTag. Default is </em>.
highlightPreTag	string	A string tag that is prepended to hit highlights. Must be set with highlightPostTag. Default is <em>.
hybridSearch	HybridSearch	The query parameters to configure hybrid search behaviors.
minimumCoverage	number	A number between 0 and 100 indicating the percentage of the index that must be covered by a search query in order for the query to be reported as a success. This parameter can be useful for ensuring search availability even for services with only one replica. The default is 100.
orderby	string	The comma-separated list of OData $orderby expressions by which to sort the results. Each expression can be either a field name or a call to either the geo.distance() or the search.score() functions. Each expression can be followed by asc to indicate ascending, or desc to indicate descending. The default is ascending order. Ties will be broken by the match scores of documents. If no $orderby is specified, the default sort order is descending by document match score. There can be at most 32 $orderby clauses.
queryLanguage	QueryLanguage	A value that specifies the language of the search query.
queryRewrites	QueryRewritesType	A value that specifies whether query rewrites should be generated to augment the search query.
queryType	QueryType	A value that specifies the syntax of the search query. The default is 'simple'. Use 'full' if your query uses the Lucene query syntax.
scoringParameters	string[]	The list of parameter values to be used in scoring functions (for example, referencePointParameter) using the format name-values. For example, if the scoring profile defines a function with a parameter called 'mylocation' the parameter string would be "mylocation--122.2,44.8" (without the quotes).
scoringProfile	string	The name of a scoring profile to evaluate match scores for matching documents in order to sort the results.
scoringStatistics	ScoringStatistics	A value that specifies whether we want to calculate scoring statistics (such as document frequency) globally for more consistent scoring, or locally, for lower latency. The default is 'local'. Use 'global' to aggregate scoring statistics globally before scoring. Using global scoring statistics can increase latency of search queries.
search	string	A full-text search query expression; Use "*" or omit this parameter to match all documents.
searchFields	string	The comma-separated list of field names to which to scope the full-text search. When using fielded search (fieldName:searchExpression) in a full Lucene query, the field names of each fielded search expression take precedence over any field names listed in this parameter.
searchMode	SearchMode	A value that specifies whether any or all of the search terms must be matched in order to count the document as a match.
select	string	The comma-separated list of fields to retrieve. If unspecified, all fields marked as retrievable in the schema are included.
semanticConfiguration	string	The name of a semantic configuration that will be used when processing documents for queries of type semantic.
semanticErrorHandling	SemanticErrorMode	Allows the user to choose whether a semantic call should fail completely (default / current behavior), or to return partial results.
semanticFields	string	The comma-separated list of field names used for semantic ranking.
semanticMaxWaitInMilliseconds	integer	Allows the user to set an upper bound on the amount of time it takes for semantic enrichment to finish processing before the request fails.
semanticQuery	string	Allows setting a separate search query that will be solely used for semantic reranking, semantic captions and semantic answers. Is useful for scenarios where there is a need to use different queries between the base retrieval and ranking phase, and the L2 semantic phase.
sessionId	string	A value to be used to create a sticky session, which can help getting more consistent results. As long as the same sessionId is used, a best-effort attempt will be made to target the same replica set. Be wary that reusing the same sessionID values repeatedly can interfere with the load balancing of the requests across replicas and adversely affect the performance of the search service. The value used as sessionId cannot start with a '_' character.
skip	integer	The number of search results to skip. This value cannot be greater than 100,000. If you need to scan documents in sequence, but cannot use skip due to this limitation, consider using orderby on a totally-ordered key and filter with a range query instead.
speller	QuerySpellerType	A value that specified the type of the speller to use to spell-correct individual search query terms.
top	integer	The number of search results to retrieve. This can be used in conjunction with $skip to implement client-side paging of search results. If results are truncated due to server-side paging, the response will include a continuation token that can be used to issue another Search request for the next page of results.
vectorFilterMode	VectorFilterMode	Determines whether or not filters are applied before or after the vector search is performed. Default is 'preFilter' for new indexes.
vectorQueries	VectorQuery[]: RawVectorQuery[] VectorizableTextQuery[] VectorizableImageUrlQuery[] VectorizableImageBinaryQuery[]	The query parameters for vector and hybrid search queries.

Responses

Name	Type	Description
200 OK	SearchDocumentsResult	Response containing documents that match the search criteria.
Other Status Codes	ErrorResponse	Error response.

Examples

SearchIndexSearchDocumentsPost

SearchIndexSearchDocumentsSemanticPost

SearchIndexSearchDocumentsPost

Sample request

HTTP

POST https://previewexampleservice.search.windows.net/indexes('preview-test')/docs/search.post.search?api-version=2024-11-01-preview


{
  "count": true,
  "facets": [
    "ownerId"
  ],
  "filter": "category eq 'purple' or category eq 'pink'",
  "highlight": "category",
  "highlightPostTag": "</em>",
  "highlightPreTag": "</em>",
  "orderby": "id desc",
  "queryType": "simple",
  "scoringStatistics": "global",
  "sessionId": "mysessionid",
  "scoringParameters": [
    "categoryTag:desiredCategoryValue"
  ],
  "scoringProfile": "stringFieldBoost",
  "search": "purple",
  "searchFields": "id,name,description,category,ownerId",
  "searchMode": "any",
  "select": "id,name,description,category,ownerId",
  "skip": 0,
  "top": 10,
  "vectorQueries": [
    {
      "vector": [
        0,
        1,
        2,
        3,
        4,
        5,
        6,
        7,
        8,
        9
      ],
      "kind": "vector",
      "k": 50,
      "fields": "vector22, vector1b",
      "oversampling": 20,
      "weight": 1,
      "threshold": {
        "value": 0.984,
        "kind": "vectorSimilarity"
      },
      "filterOverride": "ownerId eq 'sam'"
    }
  ],
  "vectorFilterMode": "preFilter",
  "hybridSearch": {
    "maxTextRecallSize": 100,
    "countAndFacetMode": "countAllResults"
  }
}

Sample response

Status code:: 200

{
  "@odata.count": 27,
  "@search.facets": {
    "ownerId": [
      {
        "count": 16,
        "value": "sam"
      },
      {
        "count": 8,
        "value": "ryan"
      },
      {
        "count": 3,
        "value": "benny"
      }
    ]
  },
  "value": [
    {
      "@search.score": 1,
      "@search.highlights": {
        "category": [
          "</em>purple</em>"
        ]
      },
      "id": "no-vectors",
      "name": "test",
      "description": "no vector",
      "category": "purple",
      "ownerId": "sam"
    },
    {
      "@search.score": 1,
      "@search.highlights": {
        "category": [
          "</em>purple</em>"
        ]
      },
      "id": "empty-vectors",
      "name": "test",
      "description": "no vector",
      "category": "purple",
      "ownerId": "sam"
    },
    {
      "@search.score": 1,
      "@search.highlights": {
        "category": [
          "</em>purple</em>"
        ]
      },
      "id": "9",
      "name": "test",
      "description": "test9 hello",
      "category": "purple",
      "ownerId": "ryan"
    },
    {
      "@search.score": 1,
      "@search.highlights": {
        "category": [
          "</em>purple</em>"
        ]
      },
      "id": "8",
      "name": "test",
      "description": "test8 hello",
      "category": "purple",
      "ownerId": "sam"
    },
    {
      "@search.score": 1,
      "@search.highlights": {
        "category": [
          "</em>purple</em>"
        ]
      },
      "id": "7",
      "name": "test",
      "description": "test7 hello",
      "category": "purple",
      "ownerId": "sam"
    },
    {
      "@search.score": 1,
      "@search.highlights": {
        "category": [
          "</em>purple</em>"
        ]
      },
      "id": "6",
      "name": "test",
      "description": "test6 hello",
      "category": "purple",
      "ownerId": "ryan"
    },
    {
      "@search.score": 1,
      "@search.highlights": {
        "category": [
          "</em>purple</em>"
        ]
      },
      "id": "5",
      "name": "test",
      "description": "test5 hello",
      "category": "purple",
      "ownerId": "sam"
    },
    {
      "@search.score": 1,
      "@search.highlights": {
        "category": [
          "</em>purple</em>"
        ]
      },
      "id": "4",
      "name": "test",
      "description": "test4 hello",
      "category": "purple",
      "ownerId": "sam"
    },
    {
      "@search.score": 1,
      "@search.highlights": {
        "category": [
          "</em>purple</em>"
        ]
      },
      "id": "3",
      "name": "test",
      "description": "test3 hello",
      "category": "purple",
      "ownerId": "ryan"
    },
    {
      "@search.score": 1,
      "@search.highlights": {
        "category": [
          "</em>purple</em>"
        ]
      },
      "id": "24",
      "name": "test",
      "description": "test24 hello",
      "category": "purple",
      "ownerId": "ryan"
    }
  ]
}

SearchIndexSearchDocumentsSemanticPost

Sample request

HTTP

POST https://myservice.search.windows.net/indexes('myindex')/docs/search.post.search?api-version=2024-11-01-preview

{
  "count": true,
  "highlightPostTag": "</em>",
  "highlightPreTag": "<em>",
  "queryType": "semantic",
  "search": "how do clouds form",
  "semanticConfiguration": "my-semantic-config",
  "answers": "extractive|count-3",
  "captions": "extractive|highlight-true",
  "semanticErrorHandling": "partial",
  "semanticMaxWaitInMilliseconds": 780
}

Sample response

Status code:: 200

{
  "@odata.count": 25,
  "@search.answers": [
    {
      "key": "4123",
      "text": "Sunlight heats the land all day, warming that moist air and causing it to rise high into the   atmosphere until it cools and condenses into water droplets. Clouds generally form where air is ascending (over land in this case),   but not where it is descending (over the river).",
      "highlights": "Sunlight heats the land all day, warming that moist air and causing it to rise high into the   atmosphere until it cools and condenses into water droplets. Clouds generally form<em> where air is ascending</em> (over land in this case),   but not where it is<em> descending</em> (over the river).",
      "score": 0.94639826
    }
  ],
  "@search.nextPageParameters": {
    "count": true,
    "highlightPostTag": "</em>",
    "highlightPreTag": "<em>",
    "queryType": "semantic",
    "search": "how do clouds form",
    "semanticConfiguration": "my-semantic-config",
    "answers": "extractive|count-3",
    "captions": "extractive|highlight-true",
    "semanticErrorHandling": "partial",
    "semanticMaxWaitInMilliseconds": 780,
    "skip": 2,
    "top": 8
  },
  "value": [
    {
      "@search.score": 0.5479723,
      "@search.rerankerScore": 1.0321671911515296,
      "@search.captions": [
        {
          "text": "Like all clouds, it forms when the air reaches its dew point—the temperature at which an air mass is cool enough for its water vapor to condense into liquid droplets. This false-color image shows valley fog, which is common in the Pacific Northwest of North America.",
          "highlights": "Like all<em> clouds</em>, it<em> forms</em> when the air reaches its dew point—the temperature at    which an air mass is cool enough for its water vapor to condense into liquid droplets. This false-color image shows valley<em> fog</em>, which is common in the Pacific Northwest of North America."
        }
      ],
      "id": "4123",
      "title": "Earth Atmosphere",
      "content": "Fog is essentially a cloud lying on the ground. Like all clouds, it forms when the air reaches its dew point—the temperature at  \n\nwhich an air mass is cool enough for its water vapor to condense into liquid droplets.\n\nThis false-color image shows valley fog, which is common in the Pacific Northwest of North America. On clear winter nights, the \n\nground and overlying air cool off rapidly, especially at high elevations. Cold air is denser than warm air, and it sinks down into the \n\nvalleys. The moist air in the valleys gets chilled to its dew point, and fog forms. If undisturbed by winds, such fog may persist for \n\ndays. The Terra satellite captured this image of foggy valleys northeast of Vancouver in February 2010.\n\n\n",
      "locations": [
        "Pacific Northwest",
        "North America",
        "Vancouver"
      ]
    }
  ],
  "@odata.nextLink": "https://myservice.search.windows.net/indexes('myindex')/docs/search.post.search?api-version=2024-11-01-preview"
}

Definitions

Name	Description
AnswerResult	An answer is a text passage extracted from the contents of the most relevant documents that matched the query. Answers are extracted from the top search results. Answer candidates are scored and the top answers are selected.
CaptionResult	Captions are the most representative passages from the document relatively to the search query. They are often used as document summary. Captions are only returned for queries of type `semantic`.
DebugInfo	Contains debugging information that can be used to further explore your search results.
DocumentDebugInfo	Contains debugging information that can be used to further explore your search results.
ErrorAdditionalInfo	The resource management error additional info.
ErrorDetail	The error detail.
ErrorResponse	Error response
HybridCountAndFacetMode	Determines whether the count and facets should includes all documents that matched the search query, or only the documents that are retrieved within the 'maxTextRecallSize' window. The default value is 'countAllResults'.
HybridSearch	TThe query parameters to configure hybrid search behaviors.
QueryAnswerType	A value that specifies whether answers should be returned as part of the search response.
QueryCaptionType	A value that specifies whether captions should be returned as part of the search response.
QueryDebugMode	Enables a debugging tool that can be used to further explore your search results. You can enable multiple debug modes simultaneously by separating them with a \| character, for example: semantic\|queryRewrites.
QueryLanguage	The language of the query.
QueryResultDocumentRerankerInput	The raw concatenated strings that were sent to the semantic enrichment process.
QueryResultDocumentSemanticField	Description of fields that were sent to the semantic enrichment process, as well as how they were used
QueryResultDocumentSubscores	The breakdown of subscores between the text and vector query components of the search query for this document. Each vector query is shown as a separate object in the same order they were received.
QueryRewritesDebugInfo	Contains debugging information specific to query rewrites.
QueryRewritesType	A value that specifies whether query rewrites should be generated to augment the search query.
QueryRewritesValuesDebugInfo	Contains debugging information specific to query rewrites.
QuerySpellerType	A value that specified the type of the speller to use to spell-correct individual search query terms.
QueryType	Specifies the syntax of the search query. The default is 'simple'. Use 'full' if your query uses the Lucene query syntax and 'semantic' if query syntax is not needed.
RawVectorQuery	The query parameters to use for vector search when a raw vector value is provided.
ScoringStatistics	A value that specifies whether we want to calculate scoring statistics (such as document frequency) globally for more consistent scoring, or locally, for lower latency. The default is 'local'. Use 'global' to aggregate scoring statistics globally before scoring. Using global scoring statistics can increase latency of search queries.
SearchDocumentsResult	Response containing search results from an index.
SearchMode	Specifies whether any or all of the search terms must be matched in order to count the document as a match.
SearchRequest	Parameters for filtering, sorting, faceting, paging, and other search query behaviors.
SearchResult	Contains a document found by a search query, plus associated metadata.
SearchScoreThreshold	The results of the vector query will filter based on the '@search.score' value. Note this is the @search.score returned as part of the search response. The threshold direction will be chosen for higher @search.score.
SemanticDebugInfo
SemanticErrorMode	Allows the user to choose whether a semantic call should fail completely (default / current behavior), or to return partial results.
SemanticErrorReason	Reason that a partial response was returned for a semantic ranking request.
SemanticFieldState	The way the field was used for the semantic enrichment process (fully used, partially used, or unused)
SemanticQueryRewritesResultType	Type of query rewrite that was used for this request.
SemanticSearchResultsType	Type of partial response that was returned for a semantic ranking request.
SingleVectorFieldResult	A single vector field result. Both @search.score and vector similarity values are returned. Vector similarity is related to @search.score by an equation.
TextResult	The BM25 or Classic score for the text portion of the query.
VectorFilterMode	Determines whether or not filters are applied before or after the vector search is performed.
VectorizableImageBinaryQuery	The query parameters to use for vector search when a base 64 encoded binary of an image that needs to be vectorized is provided.
VectorizableImageUrlQuery	The query parameters to use for vector search when an url that represents an image value that needs to be vectorized is provided.
VectorizableTextQuery	The query parameters to use for vector search when a text value that needs to be vectorized is provided.
VectorQueryKind	The kind of vector query being performed.
VectorsDebugInfo
VectorSimilarityThreshold	The results of the vector query will be filtered based on the vector similarity metric. Note this is the canonical definition of similarity metric, not the 'distance' version. The threshold direction (larger or smaller) will be chosen automatically according to the metric used by the field.
VectorThresholdKind	The kind of vector query being performed.

AnswerResult

An answer is a text passage extracted from the contents of the most relevant documents that matched the query. Answers are extracted from the top search results. Answer candidates are scored and the top answers are selected.

Name	Type	Description
highlights	string	Same text passage as in the Text property with highlighted text phrases most relevant to the query.
key	string	The key of the document the answer was extracted from.
score	number	The score value represents how relevant the answer is to the query relative to other answers returned for the query.
text	string	The text passage extracted from the document contents as the answer.

CaptionResult

Captions are the most representative passages from the document relatively to the search query. They are often used as document summary. Captions are only returned for queries of type semantic.

Name	Type	Description
highlights	string	Same text passage as in the Text property with highlighted phrases most relevant to the query.
text	string	A representative text passage extracted from the document most relevant to the search query.

DebugInfo

Contains debugging information that can be used to further explore your search results.

Name	Type	Description
queryRewrites	QueryRewritesDebugInfo	Contains debugging information specific to query rewrites.

DocumentDebugInfo

Contains debugging information that can be used to further explore your search results.

Name	Type	Description
semantic	SemanticDebugInfo	Contains debugging information specific to semantic ranking requests.
vectors	VectorsDebugInfo	Contains debugging information specific to vector and hybrid search.

ErrorAdditionalInfo

The resource management error additional info.

Name	Type	Description
info	object	The additional info.
type	string	The additional info type.

ErrorDetail

The error detail.

Name	Type	Description
additionalInfo	ErrorAdditionalInfo[]	The error additional info.
code	string	The error code.
details	ErrorDetail[]	The error details.
message	string	The error message.
target	string	The error target.

ErrorResponse

Error response

Name	Type	Description
error	ErrorDetail	The error object.

HybridCountAndFacetMode

Determines whether the count and facets should includes all documents that matched the search query, or only the documents that are retrieved within the 'maxTextRecallSize' window. The default value is 'countAllResults'.

Name	Type	Description
countAllResults	string	Include all documents that were matched by the search query when computing 'count' and 'facets', regardless of whether or not those documents are within the 'maxTextRecallSize' retrieval window.
countRetrievableResults	string	Only include documents that were matched within the 'maxTextRecallSize' retrieval window when computing 'count' and 'facets'.

HybridSearch

TThe query parameters to configure hybrid search behaviors.

Name	Type	Description
countAndFacetMode	HybridCountAndFacetMode	Determines whether the count and facets should includes all documents that matched the search query, or only the documents that are retrieved within the 'maxTextRecallSize' window.
maxTextRecallSize	integer	Determines the maximum number of documents to be retrieved by the text query portion of a hybrid search request. Those documents will be combined with the documents matching the vector queries to produce a single final list of results. Choosing a larger maxTextRecallSize value will allow retrieving and paging through more documents (using the top and skip parameters), at the cost of higher resource utilization and higher latency. The value needs to be between 1 and 10,000. Default is 1000.

QueryAnswerType

A value that specifies whether answers should be returned as part of the search response.

Name	Type	Description
extractive	string	Extracts answer candidates from the contents of the documents returned in response to a query expressed as a question in natural language.
none	string	Do not return answers for the query.

QueryCaptionType

A value that specifies whether captions should be returned as part of the search response.

Name	Type	Description
extractive	string	Extracts captions from the matching documents that contain passages relevant to the search query.
none	string	Do not return captions for the query.

QueryDebugMode

Enables a debugging tool that can be used to further explore your search results. You can enable multiple debug modes simultaneously by separating them with a | character, for example: semantic|queryRewrites.

Name	Type	Description
all	string	Turn on all debug options.
disabled	string	No query debugging information will be returned.
queryRewrites	string	Allows the user to explore the list of query rewrites generated for their search request.
semantic	string	Allows the user to further explore their reranked results.
vector	string	Allows the user to further explore their hybrid and vector query results.

QueryLanguage

The language of the query.

Name	Type	Description
ar-eg	string	Query language value for Arabic (Egypt).
ar-jo	string	Query language value for Arabic (Jordan).
ar-kw	string	Query language value for Arabic (Kuwait).
ar-ma	string	Query language value for Arabic (Morocco).
ar-sa	string	Query language value for Arabic (Saudi Arabia).
bg-bg	string	Query language value for Bulgarian (Bulgaria).
bn-in	string	Query language value for Bengali (India).
ca-es	string	Query language value for Catalan.
cs-cz	string	Query language value for Czech (Czech Republic).
da-dk	string	Query language value for Danish (Denmark).
de-de	string	Query language value for German (Germany).
el-gr	string	Query language value for Greek (Greece).
en-au	string	Query language value for English (Australia).
en-ca	string	Query language value for English (Canada).
en-gb	string	Query language value for English (Great Britain).
en-in	string	Query language value for English (India).
en-us	string	Query language value for English (United States).
es-es	string	Query language value for Spanish (Spain).
es-mx	string	Query language value for Spanish (Mexico).
et-ee	string	Query language value for Estonian (Estonia).
eu-es	string	Query language value for Basque.
fa-ae	string	Query language value for Persian (U.A.E.).
fi-fi	string	Query language value for Finnish (Finland).
fr-ca	string	Query language value for French (Canada).
fr-fr	string	Query language value for French (France).
ga-ie	string	Query language value for Irish (Ireland).
gl-es	string	Query language value for Galician.
gu-in	string	Query language value for Gujarati (India).
he-il	string	Query language value for Hebrew (Israel).
hi-in	string	Query language value for Hindi (India).
hr-ba	string	Query language value for Croatian (Bosnia and Herzegovina).
hr-hr	string	Query language value for Croatian (Croatia).
hu-hu	string	Query language value for Hungarian (Hungary).
hy-am	string	Query language value for Armenian (Armenia).
id-id	string	Query language value for Indonesian (Indonesia).
is-is	string	Query language value for Icelandic (Iceland).
it-it	string	Query language value for Italian (Italy).
ja-jp	string	Query language value for Japanese (Japan).
kn-in	string	Query language value for Kannada (India).
ko-kr	string	Query language value for Korean (Korea).
lt-lt	string	Query language value for Lithuanian (Lithuania).
lv-lv	string	Query language value for Latvian (Latvia).
ml-in	string	Query language value for Malayalam (India).
mr-in	string	Query language value for Marathi (India).
ms-bn	string	Query language value for Malay (Brunei Darussalam).
ms-my	string	Query language value for Malay (Malaysia).
nb-no	string	Query language value for Norwegian (Norway).
nl-be	string	Query language value for Dutch (Belgium).
nl-nl	string	Query language value for Dutch (Netherlands).
no-no	string	Query language value for Norwegian (Norway).
none	string	Query language not specified.
pa-in	string	Query language value for Punjabi (India).
pl-pl	string	Query language value for Polish (Poland).
pt-br	string	Query language value for Portuguese (Brazil).
pt-pt	string	Query language value for Portuguese (Portugal).
ro-ro	string	Query language value for Romanian (Romania).
ru-ru	string	Query language value for Russian (Russia).
sk-sk	string	Query language value for Slovak (Slovakia).
sl-sl	string	Query language value for Slovenian (Slovenia).
sr-ba	string	Query language value for Serbian (Bosnia and Herzegovina).
sr-me	string	Query language value for Serbian (Montenegro).
sr-rs	string	Query language value for Serbian (Serbia).
sv-se	string	Query language value for Swedish (Sweden).
ta-in	string	Query language value for Tamil (India).
te-in	string	Query language value for Telugu (India).
th-th	string	Query language value for Thai (Thailand).
tr-tr	string	Query language value for Turkish (Turkey).
uk-ua	string	Query language value for Ukrainian (Ukraine).
ur-pk	string	Query language value for Urdu (Pakistan).
vi-vn	string	Query language value for Vietnamese (Viet Nam).
zh-cn	string	Query language value for Chinese (China).
zh-tw	string	Query language value for Chinese (Taiwan).

QueryResultDocumentRerankerInput

The raw concatenated strings that were sent to the semantic enrichment process.

Name	Type	Description
content	string	The raw concatenated strings for the content fields that were used for semantic enrichment.
keywords	string	The raw concatenated strings for the keyword fields that were used for semantic enrichment.
title	string	The raw string for the title field that was used for semantic enrichment.

QueryResultDocumentSemanticField

Description of fields that were sent to the semantic enrichment process, as well as how they were used

Name	Type	Description
name	string	The name of the field that was sent to the semantic enrichment process
state	SemanticFieldState	The way the field was used for the semantic enrichment process (fully used, partially used, or unused)

QueryResultDocumentSubscores

The breakdown of subscores between the text and vector query components of the search query for this document. Each vector query is shown as a separate object in the same order they were received.

Name	Type	Description
documentBoost	number	The BM25 or Classic score for the text portion of the query.
text	TextResult	The BM25 or Classic score for the text portion of the query.
vectors	<string, SingleVectorFieldResult>	The vector similarity and @search.score values for each vector query.

QueryRewritesDebugInfo

Contains debugging information specific to query rewrites.

Name	Type	Description
text	QueryRewritesValuesDebugInfo	List of query rewrites generated for the text query.
vectors	QueryRewritesValuesDebugInfo[]	List of query rewrites generated for the vectorizable text queries.

QueryRewritesType

A value that specifies whether query rewrites should be generated to augment the search query.

Name	Type	Description
generative	string	Generate alternative query terms to increase the recall of a search request.
none	string	Do not generate additional query rewrites for this query.

QueryRewritesValuesDebugInfo

Contains debugging information specific to query rewrites.

Name	Type	Description
inputQuery	string	The input text to the generative query rewriting model. There may be cases where the user query and the input to the generative model are not identical.
rewrites	string[]	List of query rewrites.

QuerySpellerType

A value that specified the type of the speller to use to spell-correct individual search query terms.

Name	Type	Description
lexicon	string	Speller corrects individual query terms using a static lexicon for the language specified by the queryLanguage parameter.
none	string	Speller not enabled.

QueryType

Specifies the syntax of the search query. The default is 'simple'. Use 'full' if your query uses the Lucene query syntax and 'semantic' if query syntax is not needed.

Name	Type	Description
full	string	Uses the full Lucene query syntax for searches. Search text is interpreted using the Lucene query language which allows field-specific and weighted searches, as well as other advanced features.
semantic	string	Best suited for queries expressed in natural language as opposed to keywords. Improves precision of search results by re-ranking the top search results using a ranking model trained on the Web corpus.
simple	string	Uses the simple query syntax for searches. Search text is interpreted using a simple query language that allows for symbols such as +, * and "". Queries are evaluated across all searchable fields by default, unless the searchFields parameter is specified.

RawVectorQuery

The query parameters to use for vector search when a raw vector value is provided.

Name	Type	Description
exhaustive	boolean	When true, triggers an exhaustive k-nearest neighbor search across all vectors within the vector index. Useful for scenarios where exact matches are critical, such as determining ground truth values.
fields	string	Vector Fields of type Collection(Edm.Single) to be included in the vector searched.
filterOverride	string	The OData filter expression to apply to this specific vector query. If no filter expression is defined at the vector level, the expression defined in the top level filter parameter is used instead.
k	integer	Number of nearest neighbors to return as top hits.
kind	string: vector	The kind of vector query being performed.
oversampling	number	Oversampling factor. Minimum value is 1. It overrides the 'defaultOversampling' parameter configured in the index definition. It can be set only when 'rerankWithOriginalVectors' is true. This parameter is only permitted when a compression method is used on the underlying vector field.
threshold	VectorThreshold: SearchScoreThreshold VectorSimilarityThreshold	The threshold used for vector queries. Note this can only be set if all 'fields' use the same similarity metric.
vector	number[]	The vector representation of a search query.
weight	number	Relative weight of the vector query when compared to other vector query and/or the text query within the same search request. This value is used when combining the results of multiple ranking lists produced by the different vector queries and/or the results retrieved through the text query. The higher the weight, the higher the documents that matched that query will be in the final ranking. Default is 1.0 and the value needs to be a positive number larger than zero.

ScoringStatistics

A value that specifies whether we want to calculate scoring statistics (such as document frequency) globally for more consistent scoring, or locally, for lower latency. The default is 'local'. Use 'global' to aggregate scoring statistics globally before scoring. Using global scoring statistics can increase latency of search queries.

Name	Type	Description
global	string	The scoring statistics will be calculated globally for more consistent scoring.
local	string	The scoring statistics will be calculated locally for lower latency.

SearchDocumentsResult

Response containing search results from an index.

Name	Type	Description
@odata.count	integer	The total count of results found by the search operation, or null if the count was not requested. If present, the count may be greater than the number of results in this response. This can happen if you use the $top or $skip parameters, or if the query can't return all the requested documents in a single response.
@odata.nextLink	string	Continuation URL returned when the query can't return all the requested results in a single response. You can use this URL to formulate another GET or POST Search request to get the next part of the search response. Make sure to use the same verb (GET or POST) as the request that produced this response.
@search.answers	AnswerResult[]	The answers query results for the search operation; null if the answers query parameter was not specified or set to 'none'.
@search.coverage	number	A value indicating the percentage of the index that was included in the query, or null if minimumCoverage was not specified in the request.
@search.debug	DebugInfo	Debug information that applies to the search results as a whole.
@search.facets	object	The facet query results for the search operation, organized as a collection of buckets for each faceted field; null if the query did not include any facet expressions.
@search.nextPageParameters	SearchRequest	Continuation JSON payload returned when the query can't return all the requested results in a single response. You can use this JSON along with @odata.nextLink to formulate another POST Search request to get the next part of the search response.
@search.semanticPartialResponseReason	SemanticErrorReason	Reason that a partial response was returned for a semantic ranking request.
@search.semanticPartialResponseType	SemanticSearchResultsType	Type of partial response that was returned for a semantic ranking request.
@search.semanticQueryRewritesResultType	SemanticQueryRewritesResultType	Type of query rewrite that was used to retrieve documents.
value	SearchResult[]	The sequence of results returned by the query.

SearchMode

Specifies whether any or all of the search terms must be matched in order to count the document as a match.

Name	Type	Description
all	string	All of the search terms must be matched in order to count the document as a match.
any	string	Any of the search terms must be matched in order to count the document as a match.

SearchRequest

Parameters for filtering, sorting, faceting, paging, and other search query behaviors.

Name	Type	Description
answers	QueryAnswerType	A value that specifies whether answers should be returned as part of the search response.
captions	QueryCaptionType	A value that specifies whether captions should be returned as part of the search response.
count	boolean	A value that specifies whether to fetch the total count of results. Default is false. Setting this value to true may have a performance impact. Note that the count returned is an approximation.
debug	QueryDebugMode	Enables a debugging tool that can be used to further explore your reranked results.
facets	string[]	The list of facet expressions to apply to the search query. Each facet expression contains a field name, optionally followed by a comma-separated list of name:value pairs.
filter	string	The OData $filter expression to apply to the search query.
highlight	string	The comma-separated list of field names to use for hit highlights. Only searchable fields can be used for hit highlighting.
highlightPostTag	string	A string tag that is appended to hit highlights. Must be set with highlightPreTag. Default is </em>.
highlightPreTag	string	A string tag that is prepended to hit highlights. Must be set with highlightPostTag. Default is <em>.
hybridSearch	HybridSearch	The query parameters to configure hybrid search behaviors.
minimumCoverage	number	A number between 0 and 100 indicating the percentage of the index that must be covered by a search query in order for the query to be reported as a success. This parameter can be useful for ensuring search availability even for services with only one replica. The default is 100.
orderby	string	The comma-separated list of OData $orderby expressions by which to sort the results. Each expression can be either a field name or a call to either the geo.distance() or the search.score() functions. Each expression can be followed by asc to indicate ascending, or desc to indicate descending. The default is ascending order. Ties will be broken by the match scores of documents. If no $orderby is specified, the default sort order is descending by document match score. There can be at most 32 $orderby clauses.
queryLanguage	QueryLanguage	A value that specifies the language of the search query.
queryRewrites	QueryRewritesType	A value that specifies whether query rewrites should be generated to augment the search query.
queryType	QueryType	A value that specifies the syntax of the search query. The default is 'simple'. Use 'full' if your query uses the Lucene query syntax.
scoringParameters	string[]	The list of parameter values to be used in scoring functions (for example, referencePointParameter) using the format name-values. For example, if the scoring profile defines a function with a parameter called 'mylocation' the parameter string would be "mylocation--122.2,44.8" (without the quotes).
scoringProfile	string	The name of a scoring profile to evaluate match scores for matching documents in order to sort the results.
scoringStatistics	ScoringStatistics	A value that specifies whether we want to calculate scoring statistics (such as document frequency) globally for more consistent scoring, or locally, for lower latency. The default is 'local'. Use 'global' to aggregate scoring statistics globally before scoring. Using global scoring statistics can increase latency of search queries.
search	string	A full-text search query expression; Use "*" or omit this parameter to match all documents.
searchFields	string	The comma-separated list of field names to which to scope the full-text search. When using fielded search (fieldName:searchExpression) in a full Lucene query, the field names of each fielded search expression take precedence over any field names listed in this parameter.
searchMode	SearchMode	A value that specifies whether any or all of the search terms must be matched in order to count the document as a match.
select	string	The comma-separated list of fields to retrieve. If unspecified, all fields marked as retrievable in the schema are included.
semanticConfiguration	string	The name of a semantic configuration that will be used when processing documents for queries of type semantic.
semanticErrorHandling	SemanticErrorMode	Allows the user to choose whether a semantic call should fail completely (default / current behavior), or to return partial results.
semanticFields	string	The comma-separated list of field names used for semantic ranking.
semanticMaxWaitInMilliseconds	integer	Allows the user to set an upper bound on the amount of time it takes for semantic enrichment to finish processing before the request fails.
semanticQuery	string	Allows setting a separate search query that will be solely used for semantic reranking, semantic captions and semantic answers. Is useful for scenarios where there is a need to use different queries between the base retrieval and ranking phase, and the L2 semantic phase.
sessionId	string	A value to be used to create a sticky session, which can help getting more consistent results. As long as the same sessionId is used, a best-effort attempt will be made to target the same replica set. Be wary that reusing the same sessionID values repeatedly can interfere with the load balancing of the requests across replicas and adversely affect the performance of the search service. The value used as sessionId cannot start with a '_' character.
skip	integer	The number of search results to skip. This value cannot be greater than 100,000. If you need to scan documents in sequence, but cannot use skip due to this limitation, consider using orderby on a totally-ordered key and filter with a range query instead.
speller	QuerySpellerType	A value that specified the type of the speller to use to spell-correct individual search query terms.
top	integer	The number of search results to retrieve. This can be used in conjunction with $skip to implement client-side paging of search results. If results are truncated due to server-side paging, the response will include a continuation token that can be used to issue another Search request for the next page of results.
vectorFilterMode	VectorFilterMode	Determines whether or not filters are applied before or after the vector search is performed. Default is 'preFilter' for new indexes.
vectorQueries	VectorQuery[]: RawVectorQuery[] VectorizableImageBinaryQuery[] VectorizableImageUrlQuery[] VectorizableTextQuery[]	The query parameters for vector and hybrid search queries.

SearchResult

Contains a document found by a search query, plus associated metadata.

Name	Type	Description
@search.captions	CaptionResult[]	Captions are the most representative passages from the document relatively to the search query. They are often used as document summary. Captions are only returned for queries of type 'semantic'.
@search.documentDebugInfo	DocumentDebugInfo[]	Contains debugging information that can be used to further explore your search results.
@search.highlights	object	Text fragments from the document that indicate the matching search terms, organized by each applicable field; null if hit highlighting was not enabled for the query.
@search.rerankerScore	number	The relevance score computed by the semantic ranker for the top search results. Search results are sorted by the RerankerScore first and then by the Score. RerankerScore is only returned for queries of type 'semantic'.
@search.score	number	The relevance score of the document compared to other documents returned by the query.

SearchScoreThreshold

The results of the vector query will filter based on the '@search.score' value. Note this is the @search.score returned as part of the search response. The threshold direction will be chosen for higher @search.score.

Name	Type	Description
kind	string: searchScore	The kind of threshold used to filter vector queries
value	number	The threshold will filter based on the '@search.score' value. Note this is the @search.score returned as part of the search response. The threshold direction will be chosen for higher @search.score.

SemanticDebugInfo

Name	Type	Description
contentFields	QueryResultDocumentSemanticField[]	The content fields that were sent to the semantic enrichment process, as well as how they were used
keywordFields	QueryResultDocumentSemanticField[]	The keyword fields that were sent to the semantic enrichment process, as well as how they were used
rerankerInput	QueryResultDocumentRerankerInput	The raw concatenated strings that were sent to the semantic enrichment process.
titleField	QueryResultDocumentSemanticField	The title field that was sent to the semantic enrichment process, as well as how it was used

SemanticErrorMode

Allows the user to choose whether a semantic call should fail completely (default / current behavior), or to return partial results.

Name	Type	Description
fail	string	If there is an exception during the semantic processing step, the query will fail and return the appropriate HTTP code depending on the error.
partial	string	If the semantic processing fails, partial results still return. The definition of partial results depends on what semantic step failed and what was the reason for failure.

SemanticErrorReason

Reason that a partial response was returned for a semantic ranking request.

Name	Type	Description
capacityOverloaded	string	The request was throttled. Only the base results were returned.
maxWaitExceeded	string	If `semanticMaxWaitInMilliseconds` was set and the semantic processing duration exceeded that value. Only the base results were returned.
transient	string	At least one step of the semantic process failed.

SemanticFieldState

The way the field was used for the semantic enrichment process (fully used, partially used, or unused)

Name	Type	Description
partial	string	The field was partially used for semantic enrichment.
unused	string	The field was not used for semantic enrichment.
used	string	The field was fully used for semantic enrichment.

SemanticQueryRewritesResultType

Type of query rewrite that was used for this request.

Name	Type	Description
originalQueryOnly	string	Query rewrites were not successfully generated for this request. Only the original query was used to retrieve the results.

SemanticSearchResultsType

Type of partial response that was returned for a semantic ranking request.

Name	Type	Description
baseResults	string	Results without any semantic enrichment or reranking.
rerankedResults	string	Results have been reranked with the reranker model and will include semantic captions. They will not include any answers, answers highlights or caption highlights.

SingleVectorFieldResult

A single vector field result. Both @search.score and vector similarity values are returned. Vector similarity is related to @search.score by an equation.

Name	Type	Description
searchScore	number	The @search.score value that is calculated from the vector similarity score. This is the score that's visible in a pure single-field single-vector query.
vectorSimilarity	number	The vector similarity score for this document. Note this is the canonical definition of similarity metric, not the 'distance' version. For example, cosine similarity instead of cosine distance.

TextResult

The BM25 or Classic score for the text portion of the query.

Name	Type	Description
searchScore	number	The BM25 or Classic score for the text portion of the query.

VectorFilterMode

Determines whether or not filters are applied before or after the vector search is performed.

Name	Type	Description
postFilter	string	The filter will be applied after the candidate set of vector results is returned. Depending on the filter selectivity, this can result in fewer results than requested by the parameter 'k'.
preFilter	string	The filter will be applied before the search query.

VectorizableImageBinaryQuery

The query parameters to use for vector search when a base 64 encoded binary of an image that needs to be vectorized is provided.

Name	Type	Description
base64Image	string	The base 64 encoded binary of an image to be vectorized to perform a vector search query.
exhaustive	boolean	When true, triggers an exhaustive k-nearest neighbor search across all vectors within the vector index. Useful for scenarios where exact matches are critical, such as determining ground truth values.
fields	string	Vector Fields of type Collection(Edm.Single) to be included in the vector searched.
filterOverride	string	The OData filter expression to apply to this specific vector query. If no filter expression is defined at the vector level, the expression defined in the top level filter parameter is used instead.
k	integer	Number of nearest neighbors to return as top hits.
kind	string: imageBinary	The kind of vector query being performed.
oversampling	number	Oversampling factor. Minimum value is 1. It overrides the 'defaultOversampling' parameter configured in the index definition. It can be set only when 'rerankWithOriginalVectors' is true. This parameter is only permitted when a compression method is used on the underlying vector field.
threshold	VectorThreshold: SearchScoreThreshold VectorSimilarityThreshold	The threshold used for vector queries. Note this can only be set if all 'fields' use the same similarity metric.
weight	number	Relative weight of the vector query when compared to other vector query and/or the text query within the same search request. This value is used when combining the results of multiple ranking lists produced by the different vector queries and/or the results retrieved through the text query. The higher the weight, the higher the documents that matched that query will be in the final ranking. Default is 1.0 and the value needs to be a positive number larger than zero.

VectorizableImageUrlQuery

The query parameters to use for vector search when an url that represents an image value that needs to be vectorized is provided.

Name	Type	Description
exhaustive	boolean	When true, triggers an exhaustive k-nearest neighbor search across all vectors within the vector index. Useful for scenarios where exact matches are critical, such as determining ground truth values.
fields	string	Vector Fields of type Collection(Edm.Single) to be included in the vector searched.
filterOverride	string	The OData filter expression to apply to this specific vector query. If no filter expression is defined at the vector level, the expression defined in the top level filter parameter is used instead.
k	integer	Number of nearest neighbors to return as top hits.
kind	string: imageUrl	The kind of vector query being performed.
oversampling	number	Oversampling factor. Minimum value is 1. It overrides the 'defaultOversampling' parameter configured in the index definition. It can be set only when 'rerankWithOriginalVectors' is true. This parameter is only permitted when a compression method is used on the underlying vector field.
threshold	VectorThreshold: SearchScoreThreshold VectorSimilarityThreshold	The threshold used for vector queries. Note this can only be set if all 'fields' use the same similarity metric.
url	string	The URL of an image to be vectorized to perform a vector search query.
weight	number	Relative weight of the vector query when compared to other vector query and/or the text query within the same search request. This value is used when combining the results of multiple ranking lists produced by the different vector queries and/or the results retrieved through the text query. The higher the weight, the higher the documents that matched that query will be in the final ranking. Default is 1.0 and the value needs to be a positive number larger than zero.

VectorizableTextQuery

The query parameters to use for vector search when a text value that needs to be vectorized is provided.

Name	Type	Description
exhaustive	boolean	When true, triggers an exhaustive k-nearest neighbor search across all vectors within the vector index. Useful for scenarios where exact matches are critical, such as determining ground truth values.
fields	string	Vector Fields of type Collection(Edm.Single) to be included in the vector searched.
filterOverride	string	The OData filter expression to apply to this specific vector query. If no filter expression is defined at the vector level, the expression defined in the top level filter parameter is used instead.
k	integer	Number of nearest neighbors to return as top hits.
kind	string: text	The kind of vector query being performed.
oversampling	number	Oversampling factor. Minimum value is 1. It overrides the 'defaultOversampling' parameter configured in the index definition. It can be set only when 'rerankWithOriginalVectors' is true. This parameter is only permitted when a compression method is used on the underlying vector field.
queryRewrites	QueryRewritesType	Can be configured to let a generative model rewrite the query before sending it to be vectorized.
text	string	The text to be vectorized to perform a vector search query.
threshold	VectorThreshold: SearchScoreThreshold VectorSimilarityThreshold	The threshold used for vector queries. Note this can only be set if all 'fields' use the same similarity metric.
weight	number	Relative weight of the vector query when compared to other vector query and/or the text query within the same search request. This value is used when combining the results of multiple ranking lists produced by the different vector queries and/or the results retrieved through the text query. The higher the weight, the higher the documents that matched that query will be in the final ranking. Default is 1.0 and the value needs to be a positive number larger than zero.

VectorQueryKind

The kind of vector query being performed.

Name	Type	Description
imageBinary	string	Vector query where a base 64 encoded binary of an image that needs to be vectorized is provided.
imageUrl	string	Vector query where an url that represents an image value that needs to be vectorized is provided.
text	string	Vector query where a text value that needs to be vectorized is provided.
vector	string	Vector query where a raw vector value is provided.

VectorsDebugInfo

Name	Type	Description
subscores	QueryResultDocumentSubscores	The breakdown of subscores of the document prior to the chosen result set fusion/combination method such as RRF.

VectorSimilarityThreshold

The results of the vector query will be filtered based on the vector similarity metric. Note this is the canonical definition of similarity metric, not the 'distance' version. The threshold direction (larger or smaller) will be chosen automatically according to the metric used by the field.

Name	Type	Description
kind	string: vectorSimilarity	The kind of threshold used to filter vector queries
value	number	The threshold will filter based on the similarity metric value. Note this is the canonical definition of similarity metric, not the 'distance' version. The threshold direction (larger or smaller) will be chosen automatically according to the metric used by the field.

VectorThresholdKind

The kind of vector query being performed.

Name	Type	Description
searchScore	string	The results of the vector query will filter based on the '@search.score' value. Note this is the @search.score returned as part of the search response. The threshold direction will be chosen for higher @search.score.
vectorSimilarity	string	The results of the vector query will be filtered based on the vector similarity metric. Note this is the canonical definition of similarity metric, not the 'distance' version. The threshold direction (larger or smaller) will be chosen automatically according to the metric used by the field.

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Documents - Search Post

URI Parameters

Request Header

Request Body

Responses

Examples

SearchIndexSearchDocumentsPost

Sample request

Sample response

SearchIndexSearchDocumentsSemanticPost

Sample request

Sample response

Definitions

AnswerResult

CaptionResult

DebugInfo

DocumentDebugInfo

ErrorAdditionalInfo

ErrorDetail

ErrorResponse

HybridCountAndFacetMode

HybridSearch

QueryAnswerType

QueryCaptionType

QueryDebugMode

QueryLanguage

QueryResultDocumentRerankerInput

QueryResultDocumentSemanticField

QueryResultDocumentSubscores

QueryRewritesDebugInfo

QueryRewritesType

QueryRewritesValuesDebugInfo

QuerySpellerType

QueryType

RawVectorQuery

ScoringStatistics

SearchDocumentsResult

SearchMode

SearchRequest

SearchResult

SearchScoreThreshold

SemanticDebugInfo

SemanticErrorMode

SemanticErrorReason

SemanticFieldState

SemanticQueryRewritesResultType

SemanticSearchResultsType

SingleVectorFieldResult

TextResult

VectorFilterMode

VectorizableImageBinaryQuery

VectorizableImageUrlQuery

VectorizableTextQuery

VectorQueryKind

VectorsDebugInfo

VectorSimilarityThreshold

VectorThresholdKind

Additional resources