Package org.apache.lucene.codecs.lucene99

Class Lucene99HnswScalarQuantizedVectorsFormat

java.lang.Object

org.apache.lucene.codecs.KnnVectorsFormat

org.apache.lucene.codecs.lucene99.Lucene99HnswScalarQuantizedVectorsFormat

All Implemented Interfaces:

NamedSPILoader.NamedSPI

public final class Lucene99HnswScalarQuantizedVectorsFormat
extends KnnVectorsFormat

Lucene 9.9 vector format, which encodes numeric vector values into an associated graph connecting the documents having values. The graph is used to power HNSW search. The format consists of two files, and uses Lucene99ScalarQuantizedVectorsFormat to store the actual vectors: For details on graph storage and file extensions, see Lucene99HnswVectorsFormat.

WARNING: This API is experimental and might change in incompatible ways in the next release.

Field Summary

Fields inherited from class org.apache.lucene.codecs.KnnVectorsFormat

DEFAULT_MAX_DIMENSIONS, EMPTY

Constructor Summary

Constructors

Constructor	Description
Lucene99HnswScalarQuantizedVectorsFormat()	Constructs a format using default graph construction parameters
Lucene99HnswScalarQuantizedVectorsFormat(int maxConn, int beamWidth)	Constructs a format using the given graph construction parameters.
Lucene99HnswScalarQuantizedVectorsFormat(int maxConn, int beamWidth, int numMergeWorkers, Float confidenceInterval, ExecutorService mergeExec)	Constructs a format using the given graph construction parameters and scalar quantization.

Method Summary

Modifier and Type	Method	Description
KnnVectorsReader	fieldsReader(SegmentReadState state)	Returns a KnnVectorsReader to read the vectors from the index.
KnnVectorsWriter	fieldsWriter(SegmentWriteState state)	Returns a KnnVectorsWriter to write the vectors to the index.
int	getMaxDimensions(String fieldName)	Returns the maximum number of vector dimensions supported by this codec for the given field name
String	toString()

Methods inherited from class org.apache.lucene.codecs.KnnVectorsFormat

forName, getName

Methods inherited from class java.lang.Object

clone, equals, finalize, getClass, hashCode, notify, notifyAll, wait, wait, wait

Constructor Details

Lucene99HnswScalarQuantizedVectorsFormat

public Lucene99HnswScalarQuantizedVectorsFormat()

Constructs a format using default graph construction parameters

Lucene99HnswScalarQuantizedVectorsFormat

public Lucene99HnswScalarQuantizedVectorsFormat(int maxConn,
 int beamWidth)

Constructs a format using the given graph construction parameters.

Parameters:

maxConn - the maximum number of connections to a node in the HNSW graph

beamWidth - the size of the queue maintained during graph construction.

Lucene99HnswScalarQuantizedVectorsFormat

public Lucene99HnswScalarQuantizedVectorsFormat(int maxConn,
 int beamWidth,
 int numMergeWorkers,
 Float confidenceInterval,
 ExecutorService mergeExec)

Constructs a format using the given graph construction parameters and scalar quantization.

Parameters:

maxConn - the maximum number of connections to a node in the HNSW graph

beamWidth - the size of the queue maintained during graph construction.

numMergeWorkers - number of workers (threads) that will be used when doing merge. If larger than 1, a non-null ExecutorService must be passed as mergeExec

confidenceInterval - the confidenceInterval for scalar quantizing the vectors, when `null` it is calculated based on the vector field dimensions.

mergeExec - the ExecutorService that will be used by ALL vector writers that are generated by this format to do the merge

Method Details

fieldsWriter

public KnnVectorsWriter fieldsWriter(SegmentWriteState state)
                              throws IOException

Description copied from class: KnnVectorsFormat

Returns a KnnVectorsWriter to write the vectors to the index.

Specified by:

fieldsWriter in class KnnVectorsFormat

Throws:

IOException

fieldsReader

public KnnVectorsReader fieldsReader(SegmentReadState state)
                              throws IOException

Description copied from class: KnnVectorsFormat

Returns a KnnVectorsReader to read the vectors from the index.

Specified by:

fieldsReader in class KnnVectorsFormat

Throws:

IOException

getMaxDimensions

public int getMaxDimensions(String fieldName)

Description copied from class: KnnVectorsFormat

Returns the maximum number of vector dimensions supported by this codec for the given field name

Codecs should override this method to specify the maximum number of dimensions they support.

Overrides:

getMaxDimensions in class KnnVectorsFormat

Parameters:

fieldName - the field name

Returns:

the maximum number of vector dimensions.

toString

public String toString()

Overrides:

toString in class Object