Uses of Package
com.azure.search.documents.models
Packages that use com.azure.search.documents.models
Package
Description
Azure AI Search, formerly known as "Azure AI Search", provides secure information retrieval at scale over
user-owned content in traditional and conversational search applications.
Azure AI Search, formerly known as "Azure AI Search", provides secure information retrieval at scale over
user-owned content in traditional and conversational search applications.
Package containing the data models for SearchServiceClient.
Package containing the data models for SearchIndexClient.
Package containing options model classes used by Azure Search Documents.
Package containing Azure AI Search paged response classes.
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Classes in com.azure.search.documents.models used by com.azure.search.documentsClassDescriptionParameter group.Represents an index action that operates on a document.Options for document index operations.Response containing the status of operations for all documents in the indexing request.Cloud audiences available for Search.Additional parameters for searchGet operation.Parameter group.
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Classes in com.azure.search.documents.models used by com.azure.search.documents.indexes
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Classes in com.azure.search.documents.models used by com.azure.search.documents.indexes.modelsClassDescriptionRepresents an index action that operates on a document.Contains a batch of document write actions to send to the index.
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Classes in com.azure.search.documents.models used by com.azure.search.documents.modelsClassDescriptionThe result of Autocomplete requests.Specifies the mode for Autocomplete.Parameter group.The result of Autocomplete query.Contains debugging information that can be used to further explore your search results.A single bucket of a facet query result.Represents an index action that operates on a document.The operation to perform on a document in an indexing batch.Contains a batch of document write actions to send to the index.Options for document index operations.Response containing the status of operations for all documents in the indexing request.Status of an indexing operation for a single document.Configuration for how semantic search returns answers to the search.An answer is a text passage extracted from the contents of the most relevant documents that matched the query.This parameter is only valid if the query type is `semantic`.Configuration for how semantic search captions search results.Captions are the most representative passages from the document relatively to the search query.This parameter is only valid if the query type is `semantic`.Enables a debugging tool that can be used to further explore your search results.The breakdown of subscores between the text and vector query components of the search query for this document.Specifies the syntax of the search query.Represents a parameter value to be used in scoring functions (for example, referencePointParameter).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.Cloud audiences available for Search.Specifies whether any or all of the search terms must be matched in order to count the document as a match.Additional parameters for searchGet operation.Allows the user to choose whether a semantic call should fail completely, or to return partial results.Reason that a partial response was returned for a semantic ranking request.Parameters for performing vector searches.The document-level results for a
semanticsearch.Type of partial response that was returned for a semantic ranking request.A single vector field result.Parameter group.The BM25 or Classic score for the text portion of the query.Determines whether or not filters are applied before or after the vector search is performed.The query parameters to use for vector search when a text value that needs to be vectorized is provided.The query parameters to use for vector search when a raw vector value is provided.The query parameters for vector and hybrid search queries.The kind of vector query being performed.The VectorsDebugInfo model.Parameters for performing vector searches. -
Classes in com.azure.search.documents.models used by com.azure.search.documents.optionsClassDescriptionRepresents an index action that operates on a document.Status of an indexing operation for a single document.
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Classes in com.azure.search.documents.models used by com.azure.search.documents.utilClassDescriptionThe result of Autocomplete requests.The result of Autocomplete query.A single bucket of a facet query result.An answer is a text passage extracted from the contents of the most relevant documents that matched the query.Contains a document found by a search query, plus associated metadata.Reason that a partial response was returned for a semantic ranking request.The page-level results for a
semanticsearch.Type of partial response that was returned for a semantic ranking request.A result containing a document found by a suggestion query, plus associated metadata.