Azure.Search.Documents.Models Namespace

Classes

AutocompleteItem	The result of Autocomplete requests.
AutocompleteResults	The result of Autocomplete query.
FacetResult	A single bucket of a facet query result. Reports the number of documents with a field value falling within a particular range or having a particular value or interval.
IndexActionCompletedEventArgs<T>	Provides data for ActionCompleted event.
IndexActionEventArgs<T>	Provides data for ActionAdded and ActionSent events.
IndexActionFailedEventArgs<T>	Provides data for ActionCompleted event.
IndexDocumentsAction	Creates IndexDocumentsAction<T> instances to add to an IndexDocumentsBatch<T> and submit via IndexDocuments<T>(IndexDocumentsBatch<T>, IndexDocumentsOptions, CancellationToken).
IndexDocumentsAction<T>	Represents an index action that operates on a document.
IndexDocumentsBatch	Creates IndexDocumentsBatch<T> instances to update search indexes via IndexDocuments<T>(IndexDocumentsBatch<T>, IndexDocumentsOptions, CancellationToken).
IndexDocumentsBatch<T>	Contains a batch of document write actions to send to a search index via IndexDocuments<T>(IndexDocumentsBatch<T>, IndexDocumentsOptions, CancellationToken).
IndexDocumentsResult	Response containing the status of operations for all documents in the indexing request.
IndexingResult	Status of an indexing operation for a single document.
QueryAnswer	Configuration for how semantic search returns answers to the search.
QueryAnswerResult	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.
QueryCaption	Configuration for how semantic search captions search results.
QueryCaptionResult	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.
RangeFacetResult<T>	A single bucket of a range facet query result that reports the number of documents with a field value falling within a particular range.
SearchDocument	Represents an untyped document returned from a search or document lookup. It can be accessed as either a dynamic object or a dictionary.
SearchModelFactory	Model factory for models.
SearchResult<T>	Contains a document found by a search query, plus associated metadata.
SearchResults<T>	Response containing search results from an index.
SearchResultsPage<T>	A page of SearchResult<T>s returned from GetResultsAsync()'s AsPages(String, Nullable<Int32>) method.
SearchSuggestion<T>	A result containing a document found by a suggestion query, plus associated metadata.
SemanticSearchOptions	Options for performing Semantic Search.
SemanticSearchResult	Semantic search result.
SemanticSearchResults	Semantic search results from an index.
SuggestResults<T>	Response containing suggestion query results from an index.
ValueFacetResult<T>	A single bucket of a simple or interval facet query result that reports the number of documents with a field falling within a particular interval or having a specific value.
VectorizableTextQuery	The query parameters to use for vector search when a text value that needs to be vectorized is provided.
VectorizedQuery	The query parameters to use for vector search when a raw vector value is provided.
VectorQuery	The query parameters for vector and hybrid search queries. Please note VectorQuery is the base class. According to the scenario, a derived class of the base class might need to be assigned here, or this property needs to be casted to one of the possible derived classes. The available derived classes include VectorizableImageBinaryQuery, VectorizableImageUrlQuery, VectorizableTextQuery and VectorizedQuery.
VectorSearchOptions	Options for performing Vector Search.

Structs

QueryAnswerType	This parameter is only valid if the query type is semantic. If set, the query returns answers extracted from key passages in the highest ranked documents. The number of answers returned can be configured by appending the pipe character | followed by the count-&lt;number of answers&gt; option after the answers parameter value, such as extractive|count-3. Default count is 1. The confidence threshold can be configured by appending the pipe character | followed by the threshold-&lt;confidence threshold&gt; option after the answers parameter value, such as extractive|threshold-0.9. Default threshold is 0.7. The maximum character length of answers can be configured by appending the pipe character '|' followed by the 'count-<number of maximum character length>', such as 'extractive|maxcharlength-600'.
QueryCaptionType	This parameter is only valid if the query type is semantic. If set, the query returns captions extracted from key passages in the highest ranked documents. When Captions is set to extractive, highlighting is enabled by default, and can be configured by appending the pipe character | followed by the highlight-&lt;true/false&gt; option, such as extractive|highlight-true. Defaults to None. The maximum character length of captions can be configured by appending the pipe character '|' followed by the 'count-<number of maximum character length>', such as 'extractive|maxcharlength-600'.
SemanticErrorMode	Allows the user to choose whether a semantic call should fail completely, or to return partial results.
SemanticErrorReason	Reason that a partial response was returned for a semantic ranking request.
SemanticSearchResultsType	Type of partial response that was returned for a semantic ranking request.
VectorFilterMode	Determines whether or not filters are applied before or after the vector search is performed.

Enums

AutocompleteMode	Specifies the mode for Autocomplete. The default is 'oneTerm'. Use 'twoTerms' to get shingles and 'oneTermWithContext' to use the current context in producing autocomplete terms.
FacetType	Specifies the type of a facet query result.
IndexActionType	The operation to perform on a document in an indexing batch.
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.
SearchMode	Specifies whether any or all of the search terms must be matched in order to count the document as a match.
SearchQueryType	Specifies the syntax of the search query. The default is "simple". Use "full" if your query uses the Lucene query syntax.