Uses of Class
com.azure.search.documents.models.VectorizedQuery

Packages that use VectorizedQuery

Package	Description
com.azure.search.documents.models	Package containing the data models for SearchIndexClient.

Uses of VectorizedQuery in com.azure.search.documents.models

Methods in com.azure.search.documents.models that return VectorizedQuery

Modifier and Type	Method	Description
static VectorizedQuery	VectorizedQuery.fromJson(com.azure.json.JsonReader jsonReader)	Reads an instance of VectorizedQuery from the JsonReader.
VectorizedQuery	VectorizedQuery.setExhaustive(Boolean exhaustive)	Set the exhaustive property: When true, triggers an exhaustive k-nearest neighbor search across all vectors within the vector index.
VectorizedQuery	VectorizedQuery.setFields(String... fields)	Set the fields property: Vector Fields of type Collection(Edm.Single) to be included in the vector searched.
VectorizedQuery	VectorizedQuery.setFilterOverride(String filterOverride)	Set the filterOverride property: The OData filter expression to apply to this specific vector query.
VectorizedQuery	VectorizedQuery.setKNearestNeighborsCount(Integer kNearestNeighborsCount)	Set the kNearestNeighborsCount property: Number of nearest neighbors to return as top hits.
VectorizedQuery	VectorizedQuery.setOversampling(Double oversampling)	Set the oversampling property: Oversampling factor.
VectorizedQuery	VectorizedQuery.setThreshold(VectorThreshold threshold)	Set the threshold property: The threshold used for vector queries.
VectorizedQuery	VectorizedQuery.setWeight(Float weight)	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.