Uses of Interface
com.oracle.coherence.ai.Vector

Packages that use Vector

Package	Description
com.oracle.coherence.ai	Contains classes for Coherence AI vector database functionality.
com.oracle.coherence.ai.distance	Contains classes for Coherence AI vector database distance algorithms.
com.oracle.coherence.ai.index	Contains classes for Coherence AI vector database indexes.
com.oracle.coherence.ai.search	Contains classes for Coherence AI vector database Knn search functionality.
com.oracle.coherence.ai.util	Contains classes for Coherence AI vector database utilities.
com.tangosol.util	Contains various generic utilities.

Uses of Vector in com.oracle.coherence.ai

Classes in com.oracle.coherence.ai that implement Vector

Modifier and Type	Class	Description
final class	BitVector	A vector of bits.
final class	Float32Vector	A vector of floats.
final class	Int8Vector	A vector of bytes.

Methods in com.oracle.coherence.ai that return Vector

Modifier and Type	Method	Description
Vector<float[]>	DocumentChunk.vector()	Get the float vector for this chunk.

Methods in com.oracle.coherence.ai with parameters of type Vector

Modifier and Type	Method	Description
double	DistanceAlgorithm.distance(Vector<T> v1, Vector<T> v2)	Calculate the distance between the specified vectors.
DocumentChunk	DocumentChunk.setVector(Vector<float[]> vector)	Set the float vector for this chunk.

Constructors in com.oracle.coherence.ai with parameters of type Vector

Modifier	Constructor	Description
	DocumentChunk(String text, Vector<float[]> vector)	Create a DocumentChunk.
	DocumentChunk(String text, Map<String,Object> metadata, Vector<float[]> vector)	Create a DocumentChunk.

Uses of Vector in com.oracle.coherence.ai.distance

Methods in com.oracle.coherence.ai.distance with parameters of type Vector

Modifier and Type	Method	Description
double	AbstractDistance.distance(Vector<T> v1, Vector<T> v2)

Uses of Vector in com.oracle.coherence.ai.index

Methods in com.oracle.coherence.ai.index that return Vector

Modifier and Type	Method	Description
Vector<T>	BinaryQuantIndex.extract(V v)

Methods in com.oracle.coherence.ai.index that return types with arguments of type Vector

Modifier and Type	Method	Description
MapIndex<K,V,Vector<T>>	BinaryQuantIndex.createIndex(boolean b, Comparator comparator, Map<ValueExtractor<V,Vector<T>>,MapIndex> map, BackingMapContext backingMapContext)
MapIndex<K,V,Vector<T>>	BinaryQuantIndex.destroyIndex(Map<ValueExtractor<V,Vector<T>>,MapIndex> map)
Comparator<Vector<T>>	BinaryQuantIndex.BinaryQuantMapIndex.getComparator()
Map<Vector<T>,Set<K>>	BinaryQuantIndex.BinaryQuantMapIndex.getIndexContents()
ValueExtractor<V,Vector<T>>	BinaryQuantIndex.BinaryQuantMapIndex.getValueExtractor()

Methods in com.oracle.coherence.ai.index with parameters of type Vector

Modifier and Type	Method	Description
BinaryQueryResult[]	BinaryQuantIndex.BinaryQuantMapIndex.query(Vector<T> vector, int k, Filter<?> filter)

Method parameters in com.oracle.coherence.ai.index with type arguments of type Vector

Modifier and Type	Method	Description
MapIndex<K,V,Vector<T>>	BinaryQuantIndex.createIndex(boolean b, Comparator comparator, Map<ValueExtractor<V,Vector<T>>,MapIndex> map, BackingMapContext backingMapContext)
MapIndex<K,V,Vector<T>>	BinaryQuantIndex.destroyIndex(Map<ValueExtractor<V,Vector<T>>,MapIndex> map)

Constructor parameters in com.oracle.coherence.ai.index with type arguments of type Vector

Modifier	Constructor	Description
	BinaryQuantIndex(ValueExtractor<V,Vector<T>> extractor)	Create a BinaryQuantIndex.

Uses of Vector in com.oracle.coherence.ai.search

Fields in com.oracle.coherence.ai.search declared as Vector

Modifier and Type	Field	Description
protected Vector<T>	SimilaritySearch.m_vector	The Vector to extract the vector from the entry value.

Fields in com.oracle.coherence.ai.search with type parameters of type Vector

Modifier and Type	Field	Description
protected ValueExtractor<? super V,? extends Vector<T>>	SimilaritySearch.m_extractor	The ValueExtractor to extract the vector from the entry value.

Methods in com.oracle.coherence.ai.search that return Vector

Modifier and Type	Method	Description
Vector<T>	SimilaritySearch.getVector()

Methods in com.oracle.coherence.ai.search that return types with arguments of type Vector

Modifier and Type	Method	Description
ValueExtractor<? super V,? extends Vector<T>>	SimilaritySearch.getExtractor()

Methods in com.oracle.coherence.ai.search with parameters of type Vector

Modifier and Type	Method	Description
protected boolean	SimilaritySearch.searchPartition(BinaryEntry binaryEntry, Vector<T> vector)	If a VectorIndex exists for the specified partition, then use it to perform the KNN search.

Constructors in com.oracle.coherence.ai.search with parameters of type Vector

Modifier	Constructor	Description
	SimilaritySearch(ValueExtractor<? super V,? extends Vector<T>> extractor, Vector<T> vector, int maxResults)	Create a SimilaritySearch aggregator that will use cosine distance to calculate and return up to maxResults results that are closest to the specified vector.

Constructor parameters in com.oracle.coherence.ai.search with type arguments of type Vector

Modifier	Constructor	Description
	SimilaritySearch(ValueExtractor<? super V,? extends Vector<T>> extractor, Vector<T> vector, int maxResults)	Create a SimilaritySearch aggregator that will use cosine distance to calculate and return up to maxResults results that are closest to the specified vector.

Uses of Vector in com.oracle.coherence.ai.util

Methods in com.oracle.coherence.ai.util with parameters of type Vector

Modifier and Type	Method	Description
static int	Vectors.hammingDistance(Vector<BitSet> x, Vector<BitSet> y)	Calculate the hamming distance between two bit vectors.

Uses of Vector in com.tangosol.util

Methods in com.tangosol.util with parameters of type Vector

Modifier and Type	Method	Description
static <K, V, T> SimilaritySearch<K,V,T>	Aggregators.similaritySearch(ValueExtractor<? super V,? extends Vector<T>> extractor, Vector<T> vector, int maxResults)	Return a SimilaritySearch aggregator that will use cosine distance to calculate and return up to maxResults results that are closest to the specified vector.

Method parameters in com.tangosol.util with type arguments of type Vector

Modifier and Type	Method	Description
static <K, V, T> SimilaritySearch<K,V,T>	Aggregators.similaritySearch(ValueExtractor<? super V,? extends Vector<T>> extractor, Vector<T> vector, int maxResults)	Return a SimilaritySearch aggregator that will use cosine distance to calculate and return up to maxResults results that are closest to the specified vector.