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.
For more information about Azure AI Search KnowledgeBases, supported features, and usage guidelines, see the Azure documentation and the Azure SDK for Java guidelines.
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.Additional parameters for getDocument operation.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.knowledgebases
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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.Contains debugging information that can be used to further explore your search results.A single bucket of a facet query result.Additional parameters for getDocument operation.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.TThe query parameters to configure hybrid search behaviors.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 language of the query.Detailed scoring information for an individual element of a complex collection.The raw concatenated strings that were sent to the semantic enrichment process.Description of fields that were sent to the semantic enrichment process, as well as how they were used.The breakdown of subscores between the text and vector query components of the search query for this document.Configuration for how semantic search rewrites a query.Contains debugging information specific to query rewrites.This parameter is only valid if the query type is `semantic`.Contains debugging information specific to query rewrites.Improve search recall by spell-correcting individual search query terms.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.The results of the vector query will filter based on the '@search.score' value.The SemanticDebugInfo model.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.The way the field was used for the semantic enrichment process.Type of query rewrite that was used for this 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 base 64 encoded binary of an image that needs to be vectorized is provided.The query parameters to use for vector search when an url that represents an image value that needs to be vectorized is provided.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.The results of the vector query will be filtered based on the vector similarity metric.The threshold used for vector queries.The kind of vector query being performed. -
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.Contains debugging information that can be used to further explore your search results.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.Type of query rewrite that was used for this 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.