Uses of Class
com.azure.search.documents.models.VectorizableTextQuery
Packages that use VectorizableTextQuery
Package
Description
Package containing the data models for SearchIndexClient.
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Uses of VectorizableTextQuery in com.azure.search.documents.models
Methods in com.azure.search.documents.models that return VectorizableTextQueryModifier and TypeMethodDescriptionstatic VectorizableTextQueryVectorizableTextQuery.fromJson(com.azure.json.JsonReader jsonReader) Reads an instance of VectorizableTextQuery from the JsonReader.VectorizableTextQuery.setExhaustive(Boolean exhaustive) Set the exhaustive property: When true, triggers an exhaustive k-nearest neighbor search across all vectors within the vector index.Set the fields property: Vector Fields of type Collection(Edm.Single) to be included in the vector searched.VectorizableTextQuery.setFilterOverride(String filterOverride) Set the filterOverride property: The OData filter expression to apply to this specific vector query.VectorizableTextQuery.setKNearestNeighborsCount(Integer kNearestNeighborsCount) Set the kNearestNeighborsCount property: Number of nearest neighbors to return as top hits.VectorizableTextQuery.setOversampling(Double oversampling) Set the oversampling property: Oversampling factor.VectorizableTextQuery.setQueryRewrites(QueryRewrites queryRewrites) Set the queryRewrites property: Can be configured to let a generative model rewrite the query before sending it to be vectorized.VectorizableTextQuery.setThreshold(VectorThreshold threshold) Set the threshold property: The threshold used for vector queries.Set the weight property: Relative weight of the vector query when compared to other vector query and/or the text query within the same search request.