core/org.gnit.lucenekmp.codecs.lucene99

Package-level declarations

Types

Lucene99FlatVectorsFormat

class Lucene99FlatVectorsFormat(vectorsScorer: FlatVectorsScorer) : FlatVectorsFormat

Lucene 9.9 flat vector format, which encodes numeric vector values

Lucene99FlatVectorsReader

class Lucene99FlatVectorsReader(state: SegmentReadState, scorer: FlatVectorsScorer) : FlatVectorsReader

Reads vectors from the index segments.

Lucene99FlatVectorsWriter

class Lucene99FlatVectorsWriter(state: SegmentWriteState, scorer: FlatVectorsScorer) : FlatVectorsWriter

Writes vector values to index segments.

Lucene99HnswScalarQuantizedVectorsFormat

class Lucene99HnswScalarQuantizedVectorsFormat @JvmOverloads constructor(maxConn: Int = Lucene99HnswVectorsFormat.DEFAULT_MAX_CONN, beamWidth: Int = Lucene99HnswVectorsFormat.DEFAULT_BEAM_WIDTH, numMergeWorkers: Int = Lucene99HnswVectorsFormat.DEFAULT_NUM_MERGE_WORKER, bits: Int = 7, compress: Boolean = false, confidenceInterval: Float? = null, mergeExec: ExecutorService? = null) : KnnVectorsFormat

Lucene 9.9 vector format using scalar-quantized vectors with HNSW.

Lucene99HnswVectorsFormat

class Lucene99HnswVectorsFormat @JvmOverloads constructor(maxConn: Int = DEFAULT_MAX_CONN, beamWidth: Int = DEFAULT_BEAM_WIDTH, numMergeWorkers: Int = DEFAULT_NUM_MERGE_WORKER, mergeExec: ExecutorService? = null) : 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 requires a FlatVectorsFormat to store the actual vectors:

Lucene99HnswVectorsReader

class Lucene99HnswVectorsReader : KnnVectorsReader, QuantizedVectorsReader, HnswGraphProvider

Reads vectors from the index segments along with index data structures supporting KNN search.

Lucene99HnswVectorsWriter

class Lucene99HnswVectorsWriter(state: SegmentWriteState, M: Int, beamWidth: Int, flatVectorWriter: FlatVectorsWriter, numMergeWorkers: Int, mergeExec: TaskExecutor?) : KnnVectorsWriter

Writes vector values and knn graphs to index segments.

Lucene99ScalarQuantizedVectorScorer

class Lucene99ScalarQuantizedVectorScorer(nonQuantizedDelegate: FlatVectorsScorer) : FlatVectorsScorer

Optimized scalar quantized implementation of FlatVectorsScorer for quantized vectors stored in the Lucene99 format.

Lucene99ScalarQuantizedVectorsFormat

class Lucene99ScalarQuantizedVectorsFormat(val confidenceInterval: Float? = null, val bits: Int = 7, val compress: Boolean = false) : FlatVectorsFormat

Format supporting vector quantization, storage, and retrieval.

Lucene99ScalarQuantizedVectorsReader

class Lucene99ScalarQuantizedVectorsReader(state: SegmentReadState, rawVectorsReader: FlatVectorsReader, scorer: FlatVectorsScorer) : FlatVectorsReader, QuantizedVectorsReader

Reads Scalar Quantized vectors from the index segments along with index data structures.

Lucene99ScalarQuantizedVectorsWriter

class Lucene99ScalarQuantizedVectorsWriter : FlatVectorsWriter

Writes quantized vector values and metadata to index segments.

Lucene99SegmentInfoFormat

class Lucene99SegmentInfoFormat : SegmentInfoFormat

Lucene 9.9 Segment info format.

OffHeapQuantizedByteVectorValues

abstract class OffHeapQuantizedByteVectorValues(dimension: Int, size: Int, scalarQuantizerValue: ScalarQuantizer, similarityFunction: VectorSimilarityFunction, vectorsScorer: FlatVectorsScorer, compress: Boolean, val slice: IndexInput?) : QuantizedByteVectorValues

Read the quantized vector values and their score correction values from the index input. This supports both iterated and random access.