Class KnnQuery.Builder
java.lang.Object
co.elastic.clients.util.ObjectBuilderBase
co.elastic.clients.util.WithJsonObjectBuilderBase<BuilderT>
co.elastic.clients.elasticsearch._types.query_dsl.QueryBase.AbstractBuilder<KnnQuery.Builder>
co.elastic.clients.elasticsearch._types.KnnQuery.Builder
- All Implemented Interfaces:
WithJson<KnnQuery.Builder>,ObjectBuilder<KnnQuery>
- Enclosing class:
- KnnQuery
public static class KnnQuery.Builder
extends QueryBase.AbstractBuilder<KnnQuery.Builder>
implements ObjectBuilder<KnnQuery>
Builder for
KnnQuery.-
Constructor Summary
Constructors -
Method Summary
Modifier and TypeMethodDescriptionbuild()Builds aKnnQuery.final KnnQuery.BuilderRequired - The name of the vector field to search againstfinal KnnQuery.BuilderFilters for the kNN search queryfinal KnnQuery.Builderfilter(QueryVariant value, QueryVariant... values) Filters for the kNN search queryfinal KnnQuery.BuilderFilters for the kNN search queryfinal KnnQuery.BuilderFilters for the kNN search queryfinal KnnQuery.BuilderThe final number of nearest neighbors to return as top hitsfinal KnnQuery.BuildernumCandidates(Integer value) The number of nearest neighbor candidates to consider per shardfinal KnnQuery.BuilderqueryVector(Float value, Float... values) The query vectorfinal KnnQuery.BuilderqueryVector(List<Float> list) The query vectorfinal KnnQuery.BuilderThe query vector builder.final KnnQuery.BuilderThe query vector builder.final KnnQuery.BuilderThe query vector builder.final KnnQuery.BuilderrescoreVector(RescoreVector value) Apply oversampling and rescoring to quantized vectorsfinal KnnQuery.BuilderApply oversampling and rescoring to quantized vectorsprotected KnnQuery.Builderself()final KnnQuery.Buildersimilarity(Float value) The minimum similarity for a vector to be considered a matchfinal KnnQuery.BuildervisitPercentage(Float value) The percentage of vectors to explore per shard while doing knn search with bbq_diskMethods inherited from class co.elastic.clients.elasticsearch._types.query_dsl.QueryBase.AbstractBuilder
boost, queryNameMethods inherited from class co.elastic.clients.util.WithJsonObjectBuilderBase
withJsonMethods inherited from class co.elastic.clients.util.ObjectBuilderBase
_checkSingleUse, _listAdd, _listAddAll, _mapPut, _mapPutAll
-
Constructor Details
-
Builder
public Builder()
-
-
Method Details
-
field
Required - The name of the vector field to search againstAPI name:
field -
queryVector
The query vectorAPI name:
query_vectorAdds all elements of
listtoqueryVector. -
queryVector
The query vectorAPI name:
query_vectorAdds one or more values to
queryVector. -
queryVectorBuilder
The query vector builder. You must provide a query_vector_builder or query_vector, but not both.API name:
query_vector_builder -
queryVectorBuilder
public final KnnQuery.Builder queryVectorBuilder(Function<QueryVectorBuilder.Builder, ObjectBuilder<QueryVectorBuilder>> fn) The query vector builder. You must provide a query_vector_builder or query_vector, but not both.API name:
query_vector_builder -
queryVectorBuilder
The query vector builder. You must provide a query_vector_builder or query_vector, but not both.API name:
query_vector_builder -
numCandidates
The number of nearest neighbor candidates to consider per shardAPI name:
num_candidates -
visitPercentage
The percentage of vectors to explore per shard while doing knn search with bbq_diskAPI name:
visit_percentage -
k
The final number of nearest neighbors to return as top hitsAPI name:
k -
filter
Filters for the kNN search queryAPI name:
filterAdds all elements of
listtofilter. -
filter
Filters for the kNN search queryAPI name:
filterAdds one or more values to
filter. -
filter
Filters for the kNN search queryAPI name:
filterAdds one or more values to
filter. -
filter
Filters for the kNN search queryAPI name:
filterAdds a value to
filterusing a builder lambda. -
similarity
The minimum similarity for a vector to be considered a matchAPI name:
similarity -
rescoreVector
Apply oversampling and rescoring to quantized vectorsAPI name:
rescore_vector -
rescoreVector
public final KnnQuery.Builder rescoreVector(Function<RescoreVector.Builder, ObjectBuilder<RescoreVector>> fn) Apply oversampling and rescoring to quantized vectorsAPI name:
rescore_vector -
self
- Specified by:
selfin classQueryBase.AbstractBuilder<KnnQuery.Builder>
-
build
Builds aKnnQuery.- Specified by:
buildin interfaceObjectBuilder<KnnQuery>- Throws:
NullPointerException- if some of the required fields are null.
-