Index (simdvec 9.5.0-SNAPSHOT API)

A B C D E F G H I J L M N O P Q S T U V W
All Classes and Interfaces|All Packages|Constant Field Values

A

additionalCorrection() - Method in record class org.elasticsearch.simdvec.internal.Int7uOSQVectorScorerSupplier.QueryContext: Returns the value of the additionalCorrection record component.
additionalCorrections - Variable in class org.elasticsearch.simdvec.ES91OSQVectorsScorer
additionalCorrections - Variable in class org.elasticsearch.simdvec.ES940OSQVectorsScorer
AddressesScratch - Class in org.elasticsearch.simdvec.internal: Reusable, lazily-grown scratch buffer for an array of native addresses (pointer-width values), used to hand a contiguous MemorySegment of MemorySegment#address()-style values (array of pointers).
AddressesScratch() - Constructor for class org.elasticsearch.simdvec.internal.AddressesScratch
andBitCount(byte[], byte[]) - Static method in class org.elasticsearch.simdvec.ESVectorUtil: AND bit count computed over signed bytes.
applyCorrections(float, float, int, float, VectorSimilarityFunction, float, float, float, int, float, float) - Method in class org.elasticsearch.simdvec.ES92Int7VectorsScorer: Computes the score by applying the necessary corrections to the provided quantized distance.
applyCorrections(float, MemorySegment, Int7uOSQVectorScorerSupplier.QueryContext) - Method in class org.elasticsearch.simdvec.internal.Int7uOSQVectorScorerSupplier
applyCorrections(float, MemorySegment, Int7uOSQVectorScorerSupplier.QueryContext) - Method in class org.elasticsearch.simdvec.internal.Int7uOSQVectorScorerSupplier.DotProductSupplier
applyCorrections(float, MemorySegment, Int7uOSQVectorScorerSupplier.QueryContext) - Method in class org.elasticsearch.simdvec.internal.Int7uOSQVectorScorerSupplier.EuclideanSupplier
applyCorrections(float, MemorySegment, Int7uOSQVectorScorerSupplier.QueryContext) - Method in class org.elasticsearch.simdvec.internal.Int7uOSQVectorScorerSupplier.MaxInnerProductSupplier
applyCorrections(int, VectorSimilarityFunction, float, float, float, float, float, int, float, float, float, int) - Static method in class org.elasticsearch.simdvec.ES93BinaryQuantizedVectorScorer
applyCorrectionsBulk(MemorySegment, MemorySegment, int, Int7uOSQVectorScorerSupplier.QueryContext) - Method in class org.elasticsearch.simdvec.internal.Int7uOSQVectorScorerSupplier
applyCorrectionsBulk(MemorySegment, MemorySegment, int, Int7uOSQVectorScorerSupplier.QueryContext) - Method in class org.elasticsearch.simdvec.internal.Int7uOSQVectorScorerSupplier.DotProductSupplier
applyCorrectionsBulk(MemorySegment, MemorySegment, int, Int7uOSQVectorScorerSupplier.QueryContext) - Method in class org.elasticsearch.simdvec.internal.Int7uOSQVectorScorerSupplier.EuclideanSupplier
applyCorrectionsBulk(MemorySegment, MemorySegment, int, Int7uOSQVectorScorerSupplier.QueryContext) - Method in class org.elasticsearch.simdvec.internal.Int7uOSQVectorScorerSupplier.MaxInnerProductSupplier
applyCorrectionsIndividually(float, float, int, float, VectorSimilarityFunction, float, float, float, int, float, float) - Method in class org.elasticsearch.simdvec.ES940OSQVectorsScorer: Computes the final score by applying the necessary corrections to the provided quantized distance.

B

B_QUERY - Static variable in interface org.elasticsearch.simdvec.internal.vectorization.ESVectorUtilSupport: The number of bits in bit-quantized query vectors
BBQ_CORRECTIONS_BYTES - Static variable in class org.elasticsearch.simdvec.ES93BinaryQuantizedVectorScorer
BFloat16Support - Class in org.elasticsearch.simdvec: Basic BFloat16 conversions
BFloat16Support() - Constructor for class org.elasticsearch.simdvec.BFloat16Support
bFloat16ToFloat(byte[], int, float[], int, int, ByteOrder) - Static method in class org.elasticsearch.simdvec.ESVectorUtil
bFloat16ToFloat(byte[], int, float[], int, int, ByteOrder) - Method in class org.elasticsearch.simdvec.internal.vectorization.DefaultESVectorUtilSupport
bFloat16ToFloat(byte[], int, float[], int, int, ByteOrder) - Method in interface org.elasticsearch.simdvec.internal.vectorization.ESVectorUtilSupport: Converts bfloat16s to floats
bFloat16ToFloat(byte[], int, float[], int, int, ByteOrder) - Method in class org.elasticsearch.simdvec.internal.vectorization.PanamaESVectorUtilSupport
bFloat16ToFloat(short) - Static method in class org.elasticsearch.simdvec.BFloat16Support
BFloat16VectorScorer - Class in org.elasticsearch.simdvec.internal
BFloat16VectorScorer.DotProductScorer - Class in org.elasticsearch.simdvec.internal
BFloat16VectorScorer.EuclideanScorer - Class in org.elasticsearch.simdvec.internal
BFloat16VectorScorer.MaxInnerProductScorer - Class in org.elasticsearch.simdvec.internal
BFloat16VectorScorerSupplier - Class in org.elasticsearch.simdvec.internal
BFloat16VectorScorerSupplier(IndexInput, FloatVectorValues) - Constructor for class org.elasticsearch.simdvec.internal.BFloat16VectorScorerSupplier
BFloat16VectorScorerSupplier.DotProductSupplier - Class in org.elasticsearch.simdvec.internal
BFloat16VectorScorerSupplier.EuclideanSupplier - Class in org.elasticsearch.simdvec.internal
BFloat16VectorScorerSupplier.MaxInnerProductSupplier - Class in org.elasticsearch.simdvec.internal
BIT_SCALES - Static variable in class org.elasticsearch.simdvec.ES940OSQVectorsScorer
bitEncoding() - Method in enum class org.elasticsearch.simdvec.ES940OSQVectorsScorer.QuantEncoding
BULK_SIZE - Static variable in class org.elasticsearch.simdvec.ES940OSQVectorsScorer
bulkScore(int[], float[], int) - Method in class org.elasticsearch.simdvec.internal.BFloat16VectorScorer.DotProductScorer
bulkScore(int[], float[], int) - Method in class org.elasticsearch.simdvec.internal.BFloat16VectorScorer.EuclideanScorer
bulkScore(int[], float[], int) - Method in class org.elasticsearch.simdvec.internal.BFloat16VectorScorer.MaxInnerProductScorer
bulkScore(int[], float[], int) - Method in class org.elasticsearch.simdvec.internal.Float32VectorScorer.DotProductScorer
bulkScore(int[], float[], int) - Method in class org.elasticsearch.simdvec.internal.Float32VectorScorer.EuclideanScorer
bulkScore(int[], float[], int) - Method in class org.elasticsearch.simdvec.internal.Float32VectorScorer.MaxInnerProductScorer
bulkScore(int[], float[], int) - Method in class org.elasticsearch.simdvec.internal.Int4VectorScorer
bulkScore(int[], float[], int) - Method in class org.elasticsearch.simdvec.internal.Int7SQVectorScorer.DotProductScorer
bulkScore(int[], float[], int) - Method in class org.elasticsearch.simdvec.internal.Int7SQVectorScorer.EuclideanScorer
bulkScore(int[], float[], int) - Method in class org.elasticsearch.simdvec.internal.Int7SQVectorScorer.MaxInnerProductScorer
bulkScore(int[], float[], int) - Method in class org.elasticsearch.simdvec.internal.Int7uOSQVectorScorer
bulkScore(int[], float[], int) - Method in class org.elasticsearch.simdvec.internal.Int8VectorScorer.CosineScorer
bulkScore(int[], float[], int) - Method in class org.elasticsearch.simdvec.internal.Int8VectorScorer.DotProductScorer
bulkScore(int[], float[], int) - Method in class org.elasticsearch.simdvec.internal.Int8VectorScorer.EuclideanScorer
bulkScore(int[], float[], int) - Method in class org.elasticsearch.simdvec.internal.Int8VectorScorer.MaxInnerProductScorer
bulkScoreFromOrds(Int7uOSQVectorScorerSupplier.QueryContext, int[], float[], int) - Method in class org.elasticsearch.simdvec.internal.Int7uOSQVectorScorerSupplier
bulkScoreFromSegment(MemorySegment, MemorySegment, float, MemorySegment, int) - Method in class org.elasticsearch.simdvec.internal.Int7SQVectorScorerSupplier
bulkScoreFromSegment(MemorySegment, MemorySegment, float, MemorySegment, int) - Method in class org.elasticsearch.simdvec.internal.Int7SQVectorScorerSupplier.DotProductSupplier
bulkScoreFromSegment(MemorySegment, MemorySegment, float, MemorySegment, int) - Method in class org.elasticsearch.simdvec.internal.Int7SQVectorScorerSupplier.EuclideanSupplier
bulkScoreFromSegment(MemorySegment, MemorySegment, float, MemorySegment, int) - Method in class org.elasticsearch.simdvec.internal.Int7SQVectorScorerSupplier.MaxInnerProductSupplier
bulkScoreFromSegment(MemorySegment, MemorySegment, MemorySegment, int) - Method in class org.elasticsearch.simdvec.internal.BFloat16VectorScorerSupplier.DotProductSupplier
bulkScoreFromSegment(MemorySegment, MemorySegment, MemorySegment, int) - Method in class org.elasticsearch.simdvec.internal.BFloat16VectorScorerSupplier.EuclideanSupplier
bulkScoreFromSegment(MemorySegment, MemorySegment, MemorySegment, int) - Method in class org.elasticsearch.simdvec.internal.BFloat16VectorScorerSupplier.MaxInnerProductSupplier
bulkScoreFromSegment(MemorySegment, MemorySegment, MemorySegment, int) - Method in class org.elasticsearch.simdvec.internal.Float32VectorScorerSupplier.DotProductSupplier
bulkScoreFromSegment(MemorySegment, MemorySegment, MemorySegment, int) - Method in class org.elasticsearch.simdvec.internal.Float32VectorScorerSupplier.EuclideanSupplier
bulkScoreFromSegment(MemorySegment, MemorySegment, MemorySegment, int) - Method in class org.elasticsearch.simdvec.internal.Float32VectorScorerSupplier.MaxInnerProductSupplier
bulkSize - Variable in class org.elasticsearch.simdvec.ES91OSQVectorsScorer
bulkSize - Variable in class org.elasticsearch.simdvec.ES940OSQVectorsScorer
byteSize - Variable in class org.elasticsearch.simdvec.ES93BinaryQuantizedVectorScorer

C

calculateOSQGridPoints(float[], int[], int, float[]) - Static method in class org.elasticsearch.simdvec.ESVectorUtil: Calculate the grid points for optimized-scalar quantization
calculateOSQGridPoints(float[], int[], int, float[]) - Method in class org.elasticsearch.simdvec.internal.vectorization.DefaultESVectorUtilSupport
calculateOSQGridPoints(float[], int[], int, float[]) - Method in interface org.elasticsearch.simdvec.internal.vectorization.ESVectorUtilSupport
calculateOSQGridPoints(float[], int[], int, float[]) - Method in class org.elasticsearch.simdvec.internal.vectorization.PanamaESVectorUtilSupport
calculateOSQLoss(float[], float, float, float, float, float, float, int[]) - Method in class org.elasticsearch.simdvec.internal.vectorization.DefaultESVectorUtilSupport
calculateOSQLoss(float[], float, float, float, float, float, float, int[]) - Method in interface org.elasticsearch.simdvec.internal.vectorization.ESVectorUtilSupport
calculateOSQLoss(float[], float, float, float, float, float, float, int[]) - Method in class org.elasticsearch.simdvec.internal.vectorization.PanamaESVectorUtilSupport
calculateOSQLoss(float[], float, float, int, float, float, int[]) - Static method in class org.elasticsearch.simdvec.ESVectorUtil: Calculate the loss for optimized-scalar quantization for the given parameteres
canUseSegmentSlices(IndexInput) - Static method in class org.elasticsearch.simdvec.internal.IndexInputUtils: Returns true if MemorySegment slices can be obtained from the specified IndexInput.
centerAndCalculateOSQStatsDp(byte[], byte[], float[], float[]) - Static method in class org.elasticsearch.simdvec.ESVectorUtil: Center the byte target vector against a byte centroid and calculate the optimized-scalar quantization statistics for dot-product similarity.
centerAndCalculateOSQStatsDp(byte[], byte[], float[], float[]) - Method in class org.elasticsearch.simdvec.internal.vectorization.DefaultESVectorUtilSupport
centerAndCalculateOSQStatsDp(byte[], byte[], float[], float[]) - Method in interface org.elasticsearch.simdvec.internal.vectorization.ESVectorUtilSupport
centerAndCalculateOSQStatsDp(byte[], byte[], float[], float[]) - Method in class org.elasticsearch.simdvec.internal.vectorization.PanamaESVectorUtilSupport
centerAndCalculateOSQStatsDp(float[], float[], float[], float[]) - Static method in class org.elasticsearch.simdvec.ESVectorUtil: Center the target vector and calculate the optimized-scalar quantization statistics
centerAndCalculateOSQStatsDp(float[], float[], float[], float[]) - Method in class org.elasticsearch.simdvec.internal.vectorization.DefaultESVectorUtilSupport
centerAndCalculateOSQStatsDp(float[], float[], float[], float[]) - Method in interface org.elasticsearch.simdvec.internal.vectorization.ESVectorUtilSupport
centerAndCalculateOSQStatsDp(float[], float[], float[], float[]) - Method in class org.elasticsearch.simdvec.internal.vectorization.PanamaESVectorUtilSupport
centerAndCalculateOSQStatsEuclidean(byte[], byte[], float[], float[]) - Static method in class org.elasticsearch.simdvec.ESVectorUtil: Center the byte target vector against a byte centroid and calculate the optimized-scalar quantization statistics for euclidean similarity.
centerAndCalculateOSQStatsEuclidean(byte[], byte[], float[], float[]) - Method in class org.elasticsearch.simdvec.internal.vectorization.DefaultESVectorUtilSupport
centerAndCalculateOSQStatsEuclidean(byte[], byte[], float[], float[]) - Method in interface org.elasticsearch.simdvec.internal.vectorization.ESVectorUtilSupport
centerAndCalculateOSQStatsEuclidean(byte[], byte[], float[], float[]) - Method in class org.elasticsearch.simdvec.internal.vectorization.PanamaESVectorUtilSupport
centerAndCalculateOSQStatsEuclidean(float[], float[], float[], float[]) - Static method in class org.elasticsearch.simdvec.ESVectorUtil: Center the target vector and calculate the optimized-scalar quantization statistics
centerAndCalculateOSQStatsEuclidean(float[], float[], float[], float[]) - Method in class org.elasticsearch.simdvec.internal.vectorization.DefaultESVectorUtilSupport
centerAndCalculateOSQStatsEuclidean(float[], float[], float[], float[]) - Method in interface org.elasticsearch.simdvec.internal.vectorization.ESVectorUtilSupport
centerAndCalculateOSQStatsEuclidean(float[], float[], float[], float[]) - Method in class org.elasticsearch.simdvec.internal.vectorization.PanamaESVectorUtilSupport
checkInputType(IndexInput) - Static method in class org.elasticsearch.simdvec.internal.IndexInputUtils: Checks that a FilterIndexInput wrapper also implements MemorySegmentAccessInput or DirectAccessInput, so that zero-copy access is preserved through the wrapper chain.
checkOrdinal(int) - Method in class org.elasticsearch.simdvec.internal.BFloat16VectorScorerSupplier
checkOrdinal(int) - Method in class org.elasticsearch.simdvec.internal.Float32VectorScorerSupplier
checkOrdinal(int) - Method in class org.elasticsearch.simdvec.internal.Int7SQVectorScorerSupplier
checkOrdinal(int) - Method in class org.elasticsearch.simdvec.internal.Int7uOSQVectorScorerSupplier
checkOrdinal(int) - Method in class org.elasticsearch.simdvec.internal.Int8VectorScorerSupplier
codePointCount(BytesRef) - Static method in class org.elasticsearch.simdvec.ESVectorUtil: Count the number of Unicode code points in a utf-8 encoded string.
codePointCount(BytesRef) - Method in class org.elasticsearch.simdvec.internal.vectorization.DefaultESVectorUtilSupport
codePointCount(BytesRef) - Method in interface org.elasticsearch.simdvec.internal.vectorization.ESVectorUtilSupport
codePointCount(BytesRef) - Method in class org.elasticsearch.simdvec.internal.vectorization.PanamaESVectorUtilSupport
contains(byte[], int, int, byte[], int, int) - Static method in class org.elasticsearch.simdvec.ESVectorUtil: Checks whether the byte sequence term appears as a contiguous subsequence within value.
contains(byte[], int, int, byte[], int, int) - Method in class org.elasticsearch.simdvec.internal.vectorization.DefaultESVectorUtilSupport
contains(byte[], int, int, byte[], int, int) - Method in interface org.elasticsearch.simdvec.internal.vectorization.ESVectorUtilSupport
contains(byte[], int, int, byte[], int, int) - Method in class org.elasticsearch.simdvec.internal.vectorization.PanamaESVectorUtilSupport
copy() - Method in class org.elasticsearch.simdvec.internal.BFloat16VectorScorerSupplier.DotProductSupplier
copy() - Method in class org.elasticsearch.simdvec.internal.BFloat16VectorScorerSupplier.EuclideanSupplier
copy() - Method in class org.elasticsearch.simdvec.internal.BFloat16VectorScorerSupplier.MaxInnerProductSupplier
copy() - Method in class org.elasticsearch.simdvec.internal.Float32VectorScorerSupplier.DotProductSupplier
copy() - Method in class org.elasticsearch.simdvec.internal.Float32VectorScorerSupplier.EuclideanSupplier
copy() - Method in class org.elasticsearch.simdvec.internal.Float32VectorScorerSupplier.MaxInnerProductSupplier
copy() - Method in class org.elasticsearch.simdvec.internal.Int4VectorScorerSupplier
copy() - Method in class org.elasticsearch.simdvec.internal.Int7SQVectorScorerSupplier.DotProductSupplier
copy() - Method in class org.elasticsearch.simdvec.internal.Int7SQVectorScorerSupplier.EuclideanSupplier
copy() - Method in class org.elasticsearch.simdvec.internal.Int7SQVectorScorerSupplier.MaxInnerProductSupplier
copy() - Method in class org.elasticsearch.simdvec.internal.Int7uOSQVectorScorerSupplier.DotProductSupplier
copy() - Method in class org.elasticsearch.simdvec.internal.Int7uOSQVectorScorerSupplier.EuclideanSupplier
copy() - Method in class org.elasticsearch.simdvec.internal.Int7uOSQVectorScorerSupplier.MaxInnerProductSupplier
copy() - Method in class org.elasticsearch.simdvec.internal.Int8VectorScorerSupplier.CosineSupplier
copy() - Method in class org.elasticsearch.simdvec.internal.Int8VectorScorerSupplier.DotProductSupplier
copy() - Method in class org.elasticsearch.simdvec.internal.Int8VectorScorerSupplier.EuclideanSupplier
copy() - Method in class org.elasticsearch.simdvec.internal.Int8VectorScorerSupplier.MaxInnerProductSupplier
cosine(byte[], byte[]) - Static method in class org.elasticsearch.simdvec.ESVectorUtil
cosine(byte[], byte[]) - Method in class org.elasticsearch.simdvec.internal.vectorization.DefaultESVectorUtilSupport
cosine(byte[], byte[]) - Method in interface org.elasticsearch.simdvec.internal.vectorization.ESVectorUtilSupport: Calculates the cosine of the given byte arrays.
cosine(byte[], byte[]) - Method in class org.elasticsearch.simdvec.internal.vectorization.Native22ESVectorUtilSupport
cosine(byte[], byte[]) - Method in class org.elasticsearch.simdvec.internal.vectorization.PanamaESVectorUtilSupport
COSINE - Enum constant in enum class org.elasticsearch.simdvec.VectorSimilarityType
cosineBulk(byte[], byte[], byte[], byte[], byte[], int, float[]) - Static method in class org.elasticsearch.simdvec.ESVectorUtil: Bulk computation of cosine similarity from a byte query vector to four byte candidate vectors.
cosineBulk(byte[], byte[], byte[], byte[], byte[], int, float[]) - Method in class org.elasticsearch.simdvec.internal.vectorization.DefaultESVectorUtilSupport
cosineBulk(byte[], byte[], byte[], byte[], byte[], int, float[]) - Method in interface org.elasticsearch.simdvec.internal.vectorization.ESVectorUtilSupport
cosineBulk(byte[], byte[], byte[], byte[], byte[], int, float[]) - Method in class org.elasticsearch.simdvec.internal.vectorization.PanamaESVectorUtilSupport
cosineI8(MemorySegment, MemorySegment, int) - Static method in class org.elasticsearch.simdvec.internal.Similarities
CosineScorer(IndexInput, ByteVectorValues, byte[]) - Constructor for class org.elasticsearch.simdvec.internal.Int8VectorScorer.CosineScorer
CosineSupplier(IndexInput, ByteVectorValues) - Constructor for class org.elasticsearch.simdvec.internal.Int8VectorScorerSupplier.CosineSupplier
create(VectorSimilarityFunction, ByteVectorValues, byte[]) - Static method in class org.elasticsearch.simdvec.internal.Int8VectorScorer
create(VectorSimilarityFunction, FloatVectorValues, float[]) - Static method in class org.elasticsearch.simdvec.internal.BFloat16VectorScorer
create(VectorSimilarityFunction, FloatVectorValues, float[]) - Static method in class org.elasticsearch.simdvec.internal.Float32VectorScorer
create(VectorSimilarityFunction, LegacyQuantizedByteVectorValues, float[]) - Static method in class org.elasticsearch.simdvec.internal.Int7SQVectorScorer: Return an optional whose value, if present, is the scorer.
create(VectorSimilarityFunction, QuantizedByteVectorValues, byte[], float, float, float, int) - Static method in class org.elasticsearch.simdvec.internal.Int4VectorScorer: Creates an int4 query-time scorer if the input supports efficient access.
create(VectorSimilarityFunction, QuantizedByteVectorValues, byte[], float, float, float, int) - Static method in class org.elasticsearch.simdvec.internal.Int7uOSQVectorScorer
createQueryContext(int) - Method in class org.elasticsearch.simdvec.internal.Int7uOSQVectorScorerSupplier

D

D1Q1 - Enum constant in enum class org.elasticsearch.simdvec.ES940OSQVectorsScorer.QuantEncoding
D1Q4 - Enum constant in enum class org.elasticsearch.simdvec.ES940OSQVectorsScorer.QuantEncoding
D2Q4_PACKED - Enum constant in enum class org.elasticsearch.simdvec.ES940OSQVectorsScorer.QuantEncoding
D2Q4_STRIPED - Enum constant in enum class org.elasticsearch.simdvec.ES940OSQVectorsScorer.QuantEncoding
D4Q4_PACKED - Enum constant in enum class org.elasticsearch.simdvec.ES940OSQVectorsScorer.QuantEncoding
D4Q4_STRIPED - Enum constant in enum class org.elasticsearch.simdvec.ES940OSQVectorsScorer.QuantEncoding
D7Q7 - Enum constant in enum class org.elasticsearch.simdvec.ES940OSQVectorsScorer.QuantEncoding
DefaultES93BinaryQuantizedVectorScorer - Class in org.elasticsearch.simdvec.internal.vectorization
DefaultES93BinaryQuantizedVectorScorer(IndexInput, int, int) - Constructor for class org.elasticsearch.simdvec.internal.vectorization.DefaultES93BinaryQuantizedVectorScorer
DefaultESVectorUtilSupport - Class in org.elasticsearch.simdvec.internal.vectorization
DefaultESVectorUtilSupport() - Constructor for class org.elasticsearch.simdvec.internal.vectorization.DefaultESVectorUtilSupport
dimensions - Variable in class org.elasticsearch.simdvec.ES91OSQVectorsScorer
dimensions - Variable in class org.elasticsearch.simdvec.ES92Int7VectorsScorer
dimensions - Variable in class org.elasticsearch.simdvec.ES93BinaryQuantizedVectorScorer
dimensions - Variable in class org.elasticsearch.simdvec.ES940OSQVectorsScorer
dims - Variable in class org.elasticsearch.simdvec.internal.Int7uOSQVectorScorerSupplier
DOT_PRODUCT - Enum constant in enum class org.elasticsearch.simdvec.VectorSimilarityType
dotProduct(byte[], byte[]) - Static method in class org.elasticsearch.simdvec.ESVectorUtil
dotProduct(byte[], byte[]) - Method in class org.elasticsearch.simdvec.internal.vectorization.DefaultESVectorUtilSupport
dotProduct(byte[], byte[]) - Method in interface org.elasticsearch.simdvec.internal.vectorization.ESVectorUtilSupport: Calculates the dot product of the given byte arrays.
dotProduct(byte[], byte[]) - Method in class org.elasticsearch.simdvec.internal.vectorization.Native22ESVectorUtilSupport
dotProduct(byte[], byte[]) - Method in class org.elasticsearch.simdvec.internal.vectorization.PanamaESVectorUtilSupport
dotProduct(byte[], byte[], int) - Static method in class org.elasticsearch.simdvec.ESVectorUtil: Dot product of the first length components of a and b.
dotProduct(byte[], byte[], int, int) - Static method in class org.elasticsearch.simdvec.ESVectorUtil: Dot product over [offset, offset + length).
dotProduct(byte[], byte[], int, int) - Method in class org.elasticsearch.simdvec.internal.vectorization.DefaultESVectorUtilSupport
dotProduct(byte[], byte[], int, int) - Method in interface org.elasticsearch.simdvec.internal.vectorization.ESVectorUtilSupport: Calculates the dot product over [offset, offset + length).
dotProduct(byte[], byte[], int, int) - Method in class org.elasticsearch.simdvec.internal.vectorization.Native22ESVectorUtilSupport
dotProduct(byte[], byte[], int, int) - Method in class org.elasticsearch.simdvec.internal.vectorization.PanamaESVectorUtilSupport
dotProduct(float[], float[]) - Static method in class org.elasticsearch.simdvec.ESVectorUtil
dotProduct(float[], float[]) - Method in class org.elasticsearch.simdvec.internal.vectorization.DefaultESVectorUtilSupport
dotProduct(float[], float[]) - Method in interface org.elasticsearch.simdvec.internal.vectorization.ESVectorUtilSupport: Calculates the dot product of the given float arrays.
dotProduct(float[], float[]) - Method in class org.elasticsearch.simdvec.internal.vectorization.Native22ESVectorUtilSupport
dotProduct(float[], float[]) - Method in class org.elasticsearch.simdvec.internal.vectorization.PanamaESVectorUtilSupport
dotProduct(float[], float[], int) - Static method in class org.elasticsearch.simdvec.ESVectorUtil: Dot product of the first length components of a and b.
dotProduct(float[], float[], int, int) - Static method in class org.elasticsearch.simdvec.ESVectorUtil: Dot product over [offset, offset + length).
dotProduct(float[], float[], int, int) - Method in class org.elasticsearch.simdvec.internal.vectorization.DefaultESVectorUtilSupport
dotProduct(float[], float[], int, int) - Method in interface org.elasticsearch.simdvec.internal.vectorization.ESVectorUtilSupport: Calculates the dot product over [offset, offset + length).
dotProduct(float[], float[], int, int) - Method in class org.elasticsearch.simdvec.internal.vectorization.Native22ESVectorUtilSupport
dotProduct(float[], float[], int, int) - Method in class org.elasticsearch.simdvec.internal.vectorization.PanamaESVectorUtilSupport
dotProductBulk(byte[], byte[], byte[], byte[], byte[], int, float[]) - Static method in class org.elasticsearch.simdvec.ESVectorUtil: Bulk computation of dot product from a byte query vector to four byte candidate vectors.
dotProductBulk(byte[], byte[], byte[], byte[], byte[], int, float[]) - Method in class org.elasticsearch.simdvec.internal.vectorization.DefaultESVectorUtilSupport
dotProductBulk(byte[], byte[], byte[], byte[], byte[], int, float[]) - Method in interface org.elasticsearch.simdvec.internal.vectorization.ESVectorUtilSupport
dotProductBulk(byte[], byte[], byte[], byte[], byte[], int, float[]) - Method in class org.elasticsearch.simdvec.internal.vectorization.PanamaESVectorUtilSupport
dotProductBulk(float[], float[], float[], float[], float[], int, float[]) - Static method in class org.elasticsearch.simdvec.ESVectorUtil: Bulk computation of square distances between a query vector and four vectors.Result is stored in the provided distances array.
dotProductBulk(float[], float[], float[], float[], float[], int, float[]) - Method in class org.elasticsearch.simdvec.internal.vectorization.DefaultESVectorUtilSupport
dotProductBulk(float[], float[], float[], float[], float[], int, float[]) - Method in interface org.elasticsearch.simdvec.internal.vectorization.ESVectorUtilSupport
dotProductBulk(float[], float[], float[], float[], float[], int, float[]) - Method in class org.elasticsearch.simdvec.internal.vectorization.PanamaESVectorUtilSupport
dotProductD1Q1(MemorySegment, MemorySegment, int) - Static method in class org.elasticsearch.simdvec.internal.Similarities
dotProductD1Q1Bulk(MemorySegment, MemorySegment, int, int, MemorySegment) - Static method in class org.elasticsearch.simdvec.internal.Similarities
dotProductD1Q1BulkWithOffsets(MemorySegment, MemorySegment, int, int, MemorySegment, int, MemorySegment) - Static method in class org.elasticsearch.simdvec.internal.Similarities
dotProductD1Q4(MemorySegment, MemorySegment, int) - Static method in class org.elasticsearch.simdvec.internal.Similarities
dotProductD1Q4Bulk(MemorySegment, MemorySegment, int, int, MemorySegment) - Static method in class org.elasticsearch.simdvec.internal.Similarities
dotProductD1Q4BulkSparse(MemorySegment, MemorySegment, int, int, MemorySegment) - Static method in class org.elasticsearch.simdvec.internal.Similarities
dotProductD1Q4BulkWithOffsets(MemorySegment, MemorySegment, int, int, MemorySegment, int, MemorySegment) - Static method in class org.elasticsearch.simdvec.internal.Similarities
dotProductD2Q4(MemorySegment, MemorySegment, int) - Static method in class org.elasticsearch.simdvec.internal.Similarities
dotProductD2Q4Bulk(MemorySegment, MemorySegment, int, int, MemorySegment) - Static method in class org.elasticsearch.simdvec.internal.Similarities
dotProductD2Q4BulkSparse(MemorySegment, MemorySegment, int, int, MemorySegment) - Static method in class org.elasticsearch.simdvec.internal.Similarities
dotProductD2Q4BulkWithOffsets(MemorySegment, MemorySegment, int, int, MemorySegment, int, MemorySegment) - Static method in class org.elasticsearch.simdvec.internal.Similarities
dotProductD2Q4Packed(MemorySegment, MemorySegment, int) - Static method in class org.elasticsearch.simdvec.internal.Similarities
dotProductD2Q4PackedBulk(MemorySegment, MemorySegment, int, int, MemorySegment) - Static method in class org.elasticsearch.simdvec.internal.Similarities
dotProductD2Q4PackedBulkWithOffsets(MemorySegment, MemorySegment, int, int, MemorySegment, int, MemorySegment) - Static method in class org.elasticsearch.simdvec.internal.Similarities
dotProductD4Q4(MemorySegment, MemorySegment, int) - Static method in class org.elasticsearch.simdvec.internal.Similarities
dotProductD4Q4Bulk(MemorySegment, MemorySegment, int, int, MemorySegment) - Static method in class org.elasticsearch.simdvec.internal.Similarities
dotProductD4Q4BulkSparse(MemorySegment, MemorySegment, int, int, MemorySegment) - Static method in class org.elasticsearch.simdvec.internal.Similarities
dotProductD4Q4BulkWithOffsets(MemorySegment, MemorySegment, int, int, MemorySegment, int, MemorySegment) - Static method in class org.elasticsearch.simdvec.internal.Similarities
dotProductDBF16QBF16(MemorySegment, MemorySegment, int) - Static method in class org.elasticsearch.simdvec.internal.Similarities
dotProductDBF16QF32(MemorySegment, MemorySegment, int) - Static method in class org.elasticsearch.simdvec.internal.Similarities
dotProductDBF16QF32Bulk(MemorySegment, MemorySegment, int, int, MemorySegment) - Static method in class org.elasticsearch.simdvec.internal.Similarities
dotProductF32(MemorySegment, MemorySegment, int) - Static method in class org.elasticsearch.simdvec.internal.Similarities
dotProductF32Bulk(MemorySegment, MemorySegment, int, int, MemorySegment) - Static method in class org.elasticsearch.simdvec.internal.Similarities
dotProductI4(MemorySegment, MemorySegment, int) - Static method in class org.elasticsearch.simdvec.internal.Similarities
dotProductI4Bulk(MemorySegment, MemorySegment, int, int, MemorySegment) - Static method in class org.elasticsearch.simdvec.internal.Similarities
dotProductI4BulkWithOffsets(MemorySegment, MemorySegment, int, int, MemorySegment, int, MemorySegment) - Static method in class org.elasticsearch.simdvec.internal.Similarities
dotProductI7u(MemorySegment, MemorySegment, int) - Static method in class org.elasticsearch.simdvec.internal.Similarities
dotProductI7uBulk(MemorySegment, MemorySegment, int, int, MemorySegment) - Static method in class org.elasticsearch.simdvec.internal.Similarities
dotProductI7uBulkWithOffsets(MemorySegment, MemorySegment, int, int, MemorySegment, int, MemorySegment) - Static method in class org.elasticsearch.simdvec.internal.Similarities
dotProductI8(MemorySegment, MemorySegment, int) - Static method in class org.elasticsearch.simdvec.internal.Similarities
dotProductI8Bulk(MemorySegment, MemorySegment, int, int, MemorySegment) - Static method in class org.elasticsearch.simdvec.internal.Similarities
DotProductScorer(IndexInput, ByteVectorValues, byte[]) - Constructor for class org.elasticsearch.simdvec.internal.Int8VectorScorer.DotProductScorer
DotProductScorer(IndexInput, FloatVectorValues, float[]) - Constructor for class org.elasticsearch.simdvec.internal.BFloat16VectorScorer.DotProductScorer
DotProductScorer(IndexInput, FloatVectorValues, float[]) - Constructor for class org.elasticsearch.simdvec.internal.Float32VectorScorer.DotProductScorer
DotProductScorer(IndexInput, LegacyQuantizedByteVectorValues, byte[], float) - Constructor for class org.elasticsearch.simdvec.internal.Int7SQVectorScorer.DotProductScorer
DotProductScorer(IndexInput, QuantizedByteVectorValues, byte[], float, float, float, int) - Constructor for class org.elasticsearch.simdvec.internal.Int7uOSQVectorScorer.DotProductScorer
DotProductSupplier(IndexInput, ByteVectorValues) - Constructor for class org.elasticsearch.simdvec.internal.Int8VectorScorerSupplier.DotProductSupplier
DotProductSupplier(IndexInput, FloatVectorValues) - Constructor for class org.elasticsearch.simdvec.internal.BFloat16VectorScorerSupplier.DotProductSupplier
DotProductSupplier(IndexInput, FloatVectorValues) - Constructor for class org.elasticsearch.simdvec.internal.Float32VectorScorerSupplier.DotProductSupplier
DotProductSupplier(IndexInput, LegacyQuantizedByteVectorValues, float) - Constructor for class org.elasticsearch.simdvec.internal.Int7SQVectorScorerSupplier.DotProductSupplier
DotProductSupplier(IndexInput, QuantizedByteVectorValues) - Constructor for class org.elasticsearch.simdvec.internal.Int7uOSQVectorScorerSupplier.DotProductSupplier
Dot products with bit quantization - Search tag in org.elasticsearch.simdvec.internal.vectorization.DefaultESVectorUtilSupport.ipByteBinByteImpl(byte[], byte[]): Section

E

ENABLE_INTEGER_VECTORS - Static variable in class org.elasticsearch.simdvec.internal.vectorization.PanamaVectorConstants: Whether integer vectors can be trusted to actually be fast.
encoding - Variable in class org.elasticsearch.simdvec.ES940OSQVectorsScorer
equals(Object) - Method in record class org.elasticsearch.simdvec.internal.Int7uOSQVectorScorerSupplier.QueryContext: Indicates whether some other object is "equal to" this one.
ES91OSQVectorsScorer - Class in org.elasticsearch.simdvec: Scorer for quantized vectors stored as an IndexInput.
ES91OSQVectorsScorer(IndexInput, int, int) - Constructor for class org.elasticsearch.simdvec.ES91OSQVectorsScorer: Sole constructor, called by sub-classes.
ES92Int7VectorsScorer - Class in org.elasticsearch.simdvec: Scorer for 7 bit quantized vectors stored in a IndexInput.
ES92Int7VectorsScorer(IndexInput, int, int) - Constructor for class org.elasticsearch.simdvec.ES92Int7VectorsScorer: Sole constructor, called by sub-classes.
ES93BinaryQuantizedVectorScorer - Class in org.elasticsearch.simdvec
ES93BinaryQuantizedVectorScorer(int, int) - Constructor for class org.elasticsearch.simdvec.ES93BinaryQuantizedVectorScorer
ES940OSQVectorsScorer - Class in org.elasticsearch.simdvec: Scorer for quantized vectors stored as an IndexInput.
ES940OSQVectorsScorer(IndexInput, byte, byte, int, int) - Constructor for class org.elasticsearch.simdvec.ES940OSQVectorsScorer
ES940OSQVectorsScorer(IndexInput, byte, byte, int, int, int) - Constructor for class org.elasticsearch.simdvec.ES940OSQVectorsScorer
ES940OSQVectorsScorer(IndexInput, byte, byte, int, int, int, ES940OSQVectorsScorer.BitEncoding) - Constructor for class org.elasticsearch.simdvec.ES940OSQVectorsScorer
ES940OSQVectorsScorer(IndexInput, ES940OSQVectorsScorer.QuantEncoding, int, int, int) - Constructor for class org.elasticsearch.simdvec.ES940OSQVectorsScorer
ES940OSQVectorsScorer.BitEncoding - Enum Class in org.elasticsearch.simdvec
ES940OSQVectorsScorer.QuantEncoding - Enum Class in org.elasticsearch.simdvec
ESDefaultFlatVectorScorer - Class in org.elasticsearch.simdvec.internal
ESDefaultFlatVectorScorer() - Constructor for class org.elasticsearch.simdvec.internal.ESDefaultFlatVectorScorer
ESVectorizationProvider - Class in org.elasticsearch.simdvec
ESVectorUtil - Class in org.elasticsearch.simdvec
ESVectorUtil() - Constructor for class org.elasticsearch.simdvec.ESVectorUtil
ESVectorUtilSupport - Interface in org.elasticsearch.simdvec.internal.vectorization
EUCLIDEAN - Enum constant in enum class org.elasticsearch.simdvec.VectorSimilarityType
EuclideanScorer(IndexInput, ByteVectorValues, byte[]) - Constructor for class org.elasticsearch.simdvec.internal.Int8VectorScorer.EuclideanScorer
EuclideanScorer(IndexInput, FloatVectorValues, float[]) - Constructor for class org.elasticsearch.simdvec.internal.BFloat16VectorScorer.EuclideanScorer
EuclideanScorer(IndexInput, FloatVectorValues, float[]) - Constructor for class org.elasticsearch.simdvec.internal.Float32VectorScorer.EuclideanScorer
EuclideanScorer(IndexInput, LegacyQuantizedByteVectorValues, byte[], float) - Constructor for class org.elasticsearch.simdvec.internal.Int7SQVectorScorer.EuclideanScorer
EuclideanScorer(IndexInput, QuantizedByteVectorValues, byte[], float, float, float, int) - Constructor for class org.elasticsearch.simdvec.internal.Int7uOSQVectorScorer.EuclideanScorer
EuclideanSupplier(IndexInput, ByteVectorValues) - Constructor for class org.elasticsearch.simdvec.internal.Int8VectorScorerSupplier.EuclideanSupplier
EuclideanSupplier(IndexInput, FloatVectorValues) - Constructor for class org.elasticsearch.simdvec.internal.BFloat16VectorScorerSupplier.EuclideanSupplier
EuclideanSupplier(IndexInput, FloatVectorValues) - Constructor for class org.elasticsearch.simdvec.internal.Float32VectorScorerSupplier.EuclideanSupplier
EuclideanSupplier(IndexInput, LegacyQuantizedByteVectorValues, float) - Constructor for class org.elasticsearch.simdvec.internal.Int7SQVectorScorerSupplier.EuclideanSupplier
EuclideanSupplier(IndexInput, QuantizedByteVectorValues) - Constructor for class org.elasticsearch.simdvec.internal.Int7uOSQVectorScorerSupplier.EuclideanSupplier
EXPONENT_BIAS - Static variable in class org.elasticsearch.simdvec.MathUtils
EXPONENT_BIAS_MINUS_ONE - Static variable in class org.elasticsearch.simdvec.MathUtils
EXPONENT_MASK - Static variable in class org.elasticsearch.simdvec.MathUtils

F

Float32VectorScorer - Class in org.elasticsearch.simdvec.internal
Float32VectorScorer.DotProductScorer - Class in org.elasticsearch.simdvec.internal
Float32VectorScorer.EuclideanScorer - Class in org.elasticsearch.simdvec.internal
Float32VectorScorer.MaxInnerProductScorer - Class in org.elasticsearch.simdvec.internal
Float32VectorScorerSupplier - Class in org.elasticsearch.simdvec.internal
Float32VectorScorerSupplier(IndexInput, FloatVectorValues) - Constructor for class org.elasticsearch.simdvec.internal.Float32VectorScorerSupplier
Float32VectorScorerSupplier.DotProductSupplier - Class in org.elasticsearch.simdvec.internal
Float32VectorScorerSupplier.EuclideanSupplier - Class in org.elasticsearch.simdvec.internal
Float32VectorScorerSupplier.MaxInnerProductSupplier - Class in org.elasticsearch.simdvec.internal
floatToBFloat16(float) - Static method in class org.elasticsearch.simdvec.BFloat16Support
floatToBFloat16(float[], int, byte[], int, int, ByteOrder) - Static method in class org.elasticsearch.simdvec.ESVectorUtil
floatToBFloat16(float[], int, byte[], int, int, ByteOrder) - Method in class org.elasticsearch.simdvec.internal.vectorization.DefaultESVectorUtilSupport
floatToBFloat16(float[], int, byte[], int, int, ByteOrder) - Method in interface org.elasticsearch.simdvec.internal.vectorization.ESVectorUtilSupport: Converts floats to bfloat16s
floatToBFloat16(float[], int, byte[], int, int, ByteOrder) - Method in class org.elasticsearch.simdvec.internal.vectorization.PanamaESVectorUtilSupport
FOUR_BIT_SCALE - Static variable in class org.elasticsearch.simdvec.ES91OSQVectorsScorer
FOUR_BIT_SCALE - Static variable in class org.elasticsearch.simdvec.ES93BinaryQuantizedVectorScorer
function() - Method in enum class org.elasticsearch.simdvec.VectorSimilarityType

G

get() - Method in class org.elasticsearch.simdvec.internal.Int4VectorScorerSupplier
get() - Method in class org.elasticsearch.simdvec.internal.Int7SQVectorScorerSupplier
get() - Method in class org.elasticsearch.simdvec.internal.Int7uOSQVectorScorerSupplier
get() - Method in interface org.elasticsearch.simdvec.MemorySegmentAccessInputAccess: Returns the underlying MemorySegmentAccessInput, or null if not available.
get() - Method in interface org.elasticsearch.simdvec.QuantizedByteVectorValuesAccess
get(int) - Method in class org.elasticsearch.simdvec.internal.AddressesScratch: Returns a MemorySegment of at least count native-address slots.
get(int) - Method in class org.elasticsearch.simdvec.internal.OffsetsScratch: Returns a long[] of at least count slots.
getBFloat16VectorScorer(VectorSimilarityFunction, FloatVectorValues, float[]) - Method in interface org.elasticsearch.simdvec.VectorScorerFactory: Returns an optional containing a bfloat16 vector scorer for the given parameters, or an empty optional if a scorer is not supported.
getBFloat16VectorScorerSupplier(VectorSimilarityType, IndexInput, FloatVectorValues) - Method in interface org.elasticsearch.simdvec.VectorScorerFactory: Returns an optional containing a bfloat16 vector score supplier for the given parameters, or an empty optional if a scorer is not supported.
getES91OSQVectorsScorer(IndexInput, int, int) - Static method in class org.elasticsearch.simdvec.ESVectorUtil
getES92Int7VectorsScorer(IndexInput, int, int) - Static method in class org.elasticsearch.simdvec.ESVectorUtil
getES93BinaryQuantizedVectorScorer(IndexInput, int, int) - Static method in class org.elasticsearch.simdvec.ESVectorUtil
getES940OSQVectorsScorer(IndexInput, byte, byte, int, int, int, ES940OSQVectorsScorer.BitEncoding) - Static method in class org.elasticsearch.simdvec.ESVectorUtil
getFloat32VectorScorer(VectorSimilarityFunction, FloatVectorValues, float[]) - Method in interface org.elasticsearch.simdvec.VectorScorerFactory: Returns an optional containing a float vector scorer for the given parameters, or an empty optional if a scorer is not supported.
getFloat32VectorScorerSupplier(VectorSimilarityType, IndexInput, FloatVectorValues) - Method in interface org.elasticsearch.simdvec.VectorScorerFactory: Returns an optional containing a float vector score supplier for the given parameters, or an empty optional if a scorer is not supported.
getInstance() - Static method in class org.elasticsearch.simdvec.ESVectorizationProvider
getInt4VectorScorer(VectorSimilarityFunction, QuantizedByteVectorValues, byte[], float, float, float, int) - Method in interface org.elasticsearch.simdvec.VectorScorerFactory: Returns an optional containing an int4 packed-nibble query-time vector scorer for the given parameters, or an empty optional if a scorer is not supported.
getInt4VectorScorerSupplier(VectorSimilarityType, IndexInput, QuantizedByteVectorValues) - Method in interface org.elasticsearch.simdvec.VectorScorerFactory: Returns an optional containing an int4 packed-nibble vector score supplier for the given parameters, or an empty optional if a scorer is not supported.
getInt7SQVectorScorer(VectorSimilarityFunction, LegacyQuantizedByteVectorValues, float[]) - Method in interface org.elasticsearch.simdvec.VectorScorerFactory: Returns an optional containing an int7 scalar quantized vector scorer for the given parameters, or an empty optional if a scorer is not supported.
getInt7SQVectorScorerSupplier(VectorSimilarityType, IndexInput, LegacyQuantizedByteVectorValues, float) - Method in interface org.elasticsearch.simdvec.VectorScorerFactory: Returns an optional containing an int7 scalar quantized vector score supplier for the given parameters, or an empty optional if a scorer is not supported.
getInt7uOSQVectorScorer(VectorSimilarityFunction, QuantizedByteVectorValues, byte[], float, float, float, int) - Method in interface org.elasticsearch.simdvec.VectorScorerFactory: Returns an optional containing an int7 optimal scalar quantized vector scorer for the given parameters, or an empty optional if a scorer is not supported.
getInt7uOSQVectorScorerSupplier(VectorSimilarityType, IndexInput, QuantizedByteVectorValues) - Method in interface org.elasticsearch.simdvec.VectorScorerFactory: Returns an optional containing an int7 optimal scalar quantized vector score supplier for the given parameters, or an empty optional if a scorer is not supported.
getInt8VectorScorer(VectorSimilarityFunction, ByteVectorValues, byte[]) - Method in interface org.elasticsearch.simdvec.VectorScorerFactory: Returns an optional containing a byte vector scorer for the given parameters, or an empty optional if a scorer is not supported.
getInt8VectorScorerSupplier(VectorSimilarityType, IndexInput, ByteVectorValues) - Method in interface org.elasticsearch.simdvec.VectorScorerFactory: Returns an optional containing a byte vector score supplier for the given parameters, or an empty optional if a scorer is not supported.
getRandomVectorScorer(VectorSimilarityFunction, KnnVectorValues, byte[]) - Method in class org.elasticsearch.simdvec.internal.ESDefaultFlatVectorScorer
getRandomVectorScorer(VectorSimilarityFunction, KnnVectorValues, byte[]) - Method in class org.elasticsearch.simdvec.internal.PanamaFlatVectorScorer
getRandomVectorScorer(VectorSimilarityFunction, KnnVectorValues, float[]) - Method in class org.elasticsearch.simdvec.internal.ESDefaultFlatVectorScorer
getRandomVectorScorer(VectorSimilarityFunction, KnnVectorValues, float[]) - Method in class org.elasticsearch.simdvec.internal.PanamaFlatVectorScorer
getRandomVectorScorerSupplier(VectorSimilarityFunction, KnnVectorValues) - Method in class org.elasticsearch.simdvec.internal.ESDefaultFlatVectorScorer
getRandomVectorScorerSupplier(VectorSimilarityFunction, KnnVectorValues) - Method in class org.elasticsearch.simdvec.internal.PanamaFlatVectorScorer
getScratch(int) - Method in class org.elasticsearch.simdvec.internal.MemorySegmentES92PanamaInt7VectorsScorer
getScratch(int) - Method in class org.elasticsearch.simdvec.internal.vectorization.NativeBinaryQuantizedVectorScorer
getVectorScorerFactory() - Method in class org.elasticsearch.simdvec.ESVectorizationProvider
getVectorUtilSupport() - Method in class org.elasticsearch.simdvec.ESVectorizationProvider

H

hashCode() - Method in record class org.elasticsearch.simdvec.internal.Int7uOSQVectorScorerSupplier.QueryContext: Returns a hash code value for this object.

I

in - Variable in class org.elasticsearch.simdvec.ES91OSQVectorsScorer: The wrapper IndexInput.
in - Variable in class org.elasticsearch.simdvec.ES92Int7VectorsScorer: The wrapper IndexInput.
in - Variable in class org.elasticsearch.simdvec.ES940OSQVectorsScorer: The wrapper IndexInput.
indexBits() - Method in enum class org.elasticsearch.simdvec.ES940OSQVectorsScorer.QuantEncoding
IndexInputUtils - Class in org.elasticsearch.simdvec.internal: Utility for obtaining a MemorySegment view of data in an IndexInput and passing it to a caller-supplied action.
indexOf(byte[], int, int, byte) - Static method in class org.elasticsearch.simdvec.ESVectorUtil: Searches for the first occurrence of the given marker byte in the specified range of the array.
indexOf(byte[], int, int, byte) - Method in class org.elasticsearch.simdvec.internal.vectorization.DefaultESVectorUtilSupport
indexOf(byte[], int, int, byte) - Method in interface org.elasticsearch.simdvec.internal.vectorization.ESVectorUtilSupport
indexOf(byte[], int, int, byte) - Method in class org.elasticsearch.simdvec.internal.vectorization.PanamaESVectorUtilSupport
input - Variable in class org.elasticsearch.simdvec.internal.Int7uOSQVectorScorerSupplier
inRangeBitmask(long[], long, long, long[]) - Static method in class org.elasticsearch.simdvec.ESVectorUtil: For every index i in [0, values.length), sets bit i in matches (matches[i>>>6], bit position i & 0x3f) when values[i] lies in [lowerValue, upperValue].
inRangeBitmask(long[], long, long, long[]) - Method in class org.elasticsearch.simdvec.internal.vectorization.DefaultESVectorUtilSupport
inRangeBitmask(long[], long, long, long[]) - Method in interface org.elasticsearch.simdvec.internal.vectorization.ESVectorUtilSupport
inRangeBitmask(long[], long, long, long[]) - Method in class org.elasticsearch.simdvec.internal.vectorization.PanamaESVectorUtilSupport
Int4VectorScorer - Class in org.elasticsearch.simdvec.internal: Int4 packed-nibble query-time scorer.
Int4VectorScorerSupplier - Class in org.elasticsearch.simdvec.internal: Int4 packed-nibble scorer supplier.
Int4VectorScorerSupplier(IndexInput, QuantizedByteVectorValues, VectorSimilarityType) - Constructor for class org.elasticsearch.simdvec.internal.Int4VectorScorerSupplier
int7DotProduct(byte[]) - Method in class org.elasticsearch.simdvec.ES92Int7VectorsScorer: compute the quantize distance between the provided quantized query and the quantized vector that is read from the wrapped IndexInput.
int7DotProduct(byte[]) - Method in class org.elasticsearch.simdvec.internal.MemorySegmentES92NativeInt7VectorsScorer
int7DotProduct(byte[]) - Method in class org.elasticsearch.simdvec.internal.MemorySegmentES92PanamaInt7VectorsScorer
int7DotProductBulk(byte[], int, float[]) - Method in class org.elasticsearch.simdvec.ES92Int7VectorsScorer: compute the quantize distance between the provided quantized query and the quantized vectors that are read from the wrapped IndexInput.
int7DotProductBulk(byte[], int, float[]) - Method in class org.elasticsearch.simdvec.internal.MemorySegmentES92NativeInt7VectorsScorer
int7DotProductBulk(byte[], int, float[]) - Method in class org.elasticsearch.simdvec.internal.MemorySegmentES92PanamaInt7VectorsScorer
Int7SQVectorScorer - Class in org.elasticsearch.simdvec.internal
Int7SQVectorScorer.DotProductScorer - Class in org.elasticsearch.simdvec.internal
Int7SQVectorScorer.EuclideanScorer - Class in org.elasticsearch.simdvec.internal
Int7SQVectorScorer.MaxInnerProductScorer - Class in org.elasticsearch.simdvec.internal
Int7SQVectorScorerSupplier - Class in org.elasticsearch.simdvec.internal
Int7SQVectorScorerSupplier(IndexInput, LegacyQuantizedByteVectorValues, float) - Constructor for class org.elasticsearch.simdvec.internal.Int7SQVectorScorerSupplier
Int7SQVectorScorerSupplier.DotProductSupplier - Class in org.elasticsearch.simdvec.internal
Int7SQVectorScorerSupplier.EuclideanSupplier - Class in org.elasticsearch.simdvec.internal
Int7SQVectorScorerSupplier.MaxInnerProductSupplier - Class in org.elasticsearch.simdvec.internal
Int7uOSQVectorScorer - Class in org.elasticsearch.simdvec.internal: JDK-22+ implementation for Int7 OSQ query-time scorers.
Int7uOSQVectorScorer.DotProductScorer - Class in org.elasticsearch.simdvec.internal
Int7uOSQVectorScorer.EuclideanScorer - Class in org.elasticsearch.simdvec.internal
Int7uOSQVectorScorer.MaxInnerProductScorer - Class in org.elasticsearch.simdvec.internal
Int7uOSQVectorScorerSupplier - Class in org.elasticsearch.simdvec.internal: Int7 OSQ scorer supplier backed by MemorySegmentAccessInput storage.
Int7uOSQVectorScorerSupplier.DotProductSupplier - Class in org.elasticsearch.simdvec.internal
Int7uOSQVectorScorerSupplier.EuclideanSupplier - Class in org.elasticsearch.simdvec.internal
Int7uOSQVectorScorerSupplier.MaxInnerProductSupplier - Class in org.elasticsearch.simdvec.internal
Int7uOSQVectorScorerSupplier.QueryContext - Record Class in org.elasticsearch.simdvec.internal
Int8VectorScorer - Class in org.elasticsearch.simdvec.internal
Int8VectorScorer.CosineScorer - Class in org.elasticsearch.simdvec.internal
Int8VectorScorer.DotProductScorer - Class in org.elasticsearch.simdvec.internal
Int8VectorScorer.EuclideanScorer - Class in org.elasticsearch.simdvec.internal
Int8VectorScorer.MaxInnerProductScorer - Class in org.elasticsearch.simdvec.internal
Int8VectorScorerSupplier - Class in org.elasticsearch.simdvec.internal
Int8VectorScorerSupplier(IndexInput, ByteVectorValues) - Constructor for class org.elasticsearch.simdvec.internal.Int8VectorScorerSupplier
Int8VectorScorerSupplier.CosineSupplier - Class in org.elasticsearch.simdvec.internal
Int8VectorScorerSupplier.DotProductSupplier - Class in org.elasticsearch.simdvec.internal
Int8VectorScorerSupplier.EuclideanSupplier - Class in org.elasticsearch.simdvec.internal
Int8VectorScorerSupplier.MaxInnerProductSupplier - Class in org.elasticsearch.simdvec.internal
ipByteBinByte(byte[], byte[]) - Static method in class org.elasticsearch.simdvec.ESVectorUtil
ipByteBinByte(byte[], byte[]) - Method in class org.elasticsearch.simdvec.internal.vectorization.DefaultESVectorUtilSupport
ipByteBinByte(byte[], byte[]) - Method in interface org.elasticsearch.simdvec.internal.vectorization.ESVectorUtilSupport: Compute dot product between q and d
ipByteBinByte(byte[], byte[]) - Method in class org.elasticsearch.simdvec.internal.vectorization.PanamaESVectorUtilSupport
ipByteBinByteImpl(byte[], byte[]) - Static method in class org.elasticsearch.simdvec.internal.vectorization.DefaultESVectorUtilSupport: Returns the inner product (aka dot product) between the query vector q, and the data vector d.
ipByteBit(byte[], byte[]) - Static method in class org.elasticsearch.simdvec.ESVectorUtil: Compute the inner product of two vectors, where the query vector is a byte vector and the document vector is a bit vector.
ipByteBit(byte[], byte[]) - Method in class org.elasticsearch.simdvec.internal.vectorization.DefaultESVectorUtilSupport
ipByteBit(byte[], byte[]) - Method in interface org.elasticsearch.simdvec.internal.vectorization.ESVectorUtilSupport
ipByteBit(byte[], byte[]) - Method in class org.elasticsearch.simdvec.internal.vectorization.PanamaESVectorUtilSupport
ipByteBitImpl(byte[], byte[]) - Static method in class org.elasticsearch.simdvec.internal.vectorization.DefaultESVectorUtilSupport
ipByteBitImpl(byte[], byte[], int) - Static method in class org.elasticsearch.simdvec.internal.vectorization.DefaultESVectorUtilSupport
ipFloatBit(float[], byte[]) - Static method in class org.elasticsearch.simdvec.ESVectorUtil: Compute the inner product of two vectors, where the query vector is a float vector and the document vector is a bit vector.
ipFloatBit(float[], byte[]) - Method in class org.elasticsearch.simdvec.internal.vectorization.DefaultESVectorUtilSupport
ipFloatBit(float[], byte[]) - Method in interface org.elasticsearch.simdvec.internal.vectorization.ESVectorUtilSupport
ipFloatBit(float[], byte[]) - Method in class org.elasticsearch.simdvec.internal.vectorization.PanamaESVectorUtilSupport
ipFloatBitImpl(float[], byte[]) - Static method in class org.elasticsearch.simdvec.internal.vectorization.DefaultESVectorUtilSupport
ipFloatByte(float[], byte[]) - Static method in class org.elasticsearch.simdvec.ESVectorUtil: Compute the inner product of two vectors, where the query vector is a float vector and the document vector is a byte vector.
ipFloatByte(float[], byte[]) - Method in class org.elasticsearch.simdvec.internal.vectorization.DefaultESVectorUtilSupport
ipFloatByte(float[], byte[]) - Method in interface org.elasticsearch.simdvec.internal.vectorization.ESVectorUtilSupport
ipFloatByte(float[], byte[]) - Method in class org.elasticsearch.simdvec.internal.vectorization.PanamaESVectorUtilSupport
ipFloatByteImpl(float[], byte[]) - Static method in class org.elasticsearch.simdvec.internal.vectorization.DefaultESVectorUtilSupport

J

JdkFeatures - Class in org.elasticsearch.simdvec.internal.vectorization: JDK feature-level constants that do not depend on incubator modules.

L

l2Normalize(byte[]) - Static method in class org.elasticsearch.simdvec.ESVectorUtil: L2-normalizes all components of v in place.
l2Normalize(byte[], int) - Static method in class org.elasticsearch.simdvec.ESVectorUtil: L2-normalizes the prefix v[0..length) in place using signed byte values as real components.
l2Normalize(byte[], int, int) - Static method in class org.elasticsearch.simdvec.ESVectorUtil: L2-normalizes v[offset:offset + length) in place using signed byte values as real components.
l2Normalize(byte[], int, int) - Method in class org.elasticsearch.simdvec.internal.vectorization.DefaultESVectorUtilSupport
l2Normalize(byte[], int, int) - Method in interface org.elasticsearch.simdvec.internal.vectorization.ESVectorUtilSupport: L2-normalizes v[offset:offset + length) in place using signed byte values as real components.
l2Normalize(byte[], int, int) - Method in class org.elasticsearch.simdvec.internal.vectorization.PanamaESVectorUtilSupport
l2Normalize(float[]) - Static method in class org.elasticsearch.simdvec.ESVectorUtil: L2-normalizes all components of v in place.
l2Normalize(float[], int) - Static method in class org.elasticsearch.simdvec.ESVectorUtil: L2-normalizes the prefix v[0..length) in place.
l2Normalize(float[], int, int) - Static method in class org.elasticsearch.simdvec.ESVectorUtil: L2-normalizes v[offset:offset + length) in place.
l2Normalize(float[], int, int) - Method in class org.elasticsearch.simdvec.internal.vectorization.DefaultESVectorUtilSupport
l2Normalize(float[], int, int) - Method in interface org.elasticsearch.simdvec.internal.vectorization.ESVectorUtilSupport: L2-normalizes v[offset:offset + length) in place.
l2Normalize(float[], int, int) - Method in class org.elasticsearch.simdvec.internal.vectorization.PanamaESVectorUtilSupport
length - Variable in class org.elasticsearch.simdvec.ES91OSQVectorsScorer
length - Variable in class org.elasticsearch.simdvec.ES940OSQVectorsScorer
linearCombination(float, byte[], float[]) - Static method in class org.elasticsearch.simdvec.ESVectorUtil: Computes dest = scale * other + dest, widening byte src to float.
linearCombination(float, byte[], float[]) - Method in class org.elasticsearch.simdvec.internal.vectorization.DefaultESVectorUtilSupport
linearCombination(float, byte[], float[]) - Method in interface org.elasticsearch.simdvec.internal.vectorization.ESVectorUtilSupport
linearCombination(float, byte[], float[]) - Method in class org.elasticsearch.simdvec.internal.vectorization.PanamaESVectorUtilSupport
linearCombination(float, byte[], float, float[]) - Static method in class org.elasticsearch.simdvec.ESVectorUtil: Computes dest[d] = scaleSrc * src[d] + scaleDest * dest[d], widening byte src to float.
linearCombination(float, byte[], float, float[]) - Method in class org.elasticsearch.simdvec.internal.vectorization.DefaultESVectorUtilSupport
linearCombination(float, byte[], float, float[]) - Method in interface org.elasticsearch.simdvec.internal.vectorization.ESVectorUtilSupport
linearCombination(float, byte[], float, float[]) - Method in class org.elasticsearch.simdvec.internal.vectorization.PanamaESVectorUtilSupport
linearCombination(float, float[], float[]) - Static method in class org.elasticsearch.simdvec.ESVectorUtil: Computes dest = scale * other + dest
linearCombination(float, float[], float[]) - Method in class org.elasticsearch.simdvec.internal.vectorization.DefaultESVectorUtilSupport
linearCombination(float, float[], float[]) - Method in interface org.elasticsearch.simdvec.internal.vectorization.ESVectorUtilSupport
linearCombination(float, float[], float[]) - Method in class org.elasticsearch.simdvec.internal.vectorization.PanamaESVectorUtilSupport
linearCombination(float, float[], float, float[]) - Static method in class org.elasticsearch.simdvec.ESVectorUtil: Computes dest = scale * other + scaledDes * dest
linearCombination(float, float[], float, float[]) - Method in class org.elasticsearch.simdvec.internal.vectorization.DefaultESVectorUtilSupport
linearCombination(float, float[], float, float[]) - Method in interface org.elasticsearch.simdvec.internal.vectorization.ESVectorUtilSupport
linearCombination(float, float[], float, float[]) - Method in class org.elasticsearch.simdvec.internal.vectorization.PanamaESVectorUtilSupport
log2NQT(float) - Static method in class org.elasticsearch.simdvec.MathUtils: Computes log2(x) using the NQT approximation.
logger - Static variable in class org.elasticsearch.simdvec.ESVectorizationProvider
logSumExpNQT(float[]) - Static method in class org.elasticsearch.simdvec.ESVectorUtil: Calculates an approximation of the LogSumExp of the input array in base 2.
logSumExpNQT(float[]) - Method in class org.elasticsearch.simdvec.internal.vectorization.DefaultESVectorUtilSupport
logSumExpNQT(float[]) - Method in interface org.elasticsearch.simdvec.internal.vectorization.ESVectorUtilSupport
logSumExpNQT(float[]) - Method in class org.elasticsearch.simdvec.internal.vectorization.PanamaESVectorUtilSupport
logSumExpNQTDiff(float[], float[], float) - Static method in class org.elasticsearch.simdvec.ESVectorUtil: Calculates a shifted and scaled LogSumExp of the input arrays in base 2, according to the formula: log2(sum_i(pow(2, (v1[i] - v2[i]) / eps))) This implementation uses the log-sum-exp trick for numerical stability and Not-Quite-Trascendental functions for speed.
logSumExpNQTDiff(float[], float[], float) - Method in class org.elasticsearch.simdvec.internal.vectorization.DefaultESVectorUtilSupport
logSumExpNQTDiff(float[], float[], float) - Method in interface org.elasticsearch.simdvec.internal.vectorization.ESVectorUtilSupport
logSumExpNQTDiff(float[], float[], float) - Method in class org.elasticsearch.simdvec.internal.vectorization.PanamaESVectorUtilSupport
lookup(boolean, boolean) - Static method in class org.elasticsearch.simdvec.ESVectorizationProvider
lowerInterval() - Method in record class org.elasticsearch.simdvec.internal.Int7uOSQVectorScorerSupplier.QueryContext: Returns the value of the lowerInterval record component.
lowerIntervals - Variable in class org.elasticsearch.simdvec.ES91OSQVectorsScorer
lowerIntervals - Variable in class org.elasticsearch.simdvec.ES940OSQVectorsScorer

M

MANTISSA_BITS - Static variable in class org.elasticsearch.simdvec.MathUtils
MANTISSA_MASK - Static variable in class org.elasticsearch.simdvec.MathUtils
MathUtils - Class in org.elasticsearch.simdvec
MathUtils() - Constructor for class org.elasticsearch.simdvec.MathUtils
max(float[], int) - Static method in class org.elasticsearch.simdvec.ESVectorUtil
MAXIMUM_INNER_PRODUCT - Enum constant in enum class org.elasticsearch.simdvec.VectorSimilarityType
MaxInnerProductScorer(IndexInput, ByteVectorValues, byte[]) - Constructor for class org.elasticsearch.simdvec.internal.Int8VectorScorer.MaxInnerProductScorer
MaxInnerProductScorer(IndexInput, FloatVectorValues, float[]) - Constructor for class org.elasticsearch.simdvec.internal.BFloat16VectorScorer.MaxInnerProductScorer
MaxInnerProductScorer(IndexInput, FloatVectorValues, float[]) - Constructor for class org.elasticsearch.simdvec.internal.Float32VectorScorer.MaxInnerProductScorer
MaxInnerProductScorer(IndexInput, LegacyQuantizedByteVectorValues, byte[], float) - Constructor for class org.elasticsearch.simdvec.internal.Int7SQVectorScorer.MaxInnerProductScorer
MaxInnerProductScorer(IndexInput, QuantizedByteVectorValues, byte[], float, float, float, int) - Constructor for class org.elasticsearch.simdvec.internal.Int7uOSQVectorScorer.MaxInnerProductScorer
MaxInnerProductSupplier(IndexInput, ByteVectorValues) - Constructor for class org.elasticsearch.simdvec.internal.Int8VectorScorerSupplier.MaxInnerProductSupplier
MaxInnerProductSupplier(IndexInput, FloatVectorValues) - Constructor for class org.elasticsearch.simdvec.internal.BFloat16VectorScorerSupplier.MaxInnerProductSupplier
MaxInnerProductSupplier(IndexInput, FloatVectorValues) - Constructor for class org.elasticsearch.simdvec.internal.Float32VectorScorerSupplier.MaxInnerProductSupplier
MaxInnerProductSupplier(IndexInput, LegacyQuantizedByteVectorValues, float) - Constructor for class org.elasticsearch.simdvec.internal.Int7SQVectorScorerSupplier.MaxInnerProductSupplier
MaxInnerProductSupplier(IndexInput, QuantizedByteVectorValues) - Constructor for class org.elasticsearch.simdvec.internal.Int7uOSQVectorScorerSupplier.MaxInnerProductSupplier
maxOrd - Variable in class org.elasticsearch.simdvec.internal.Int7uOSQVectorScorerSupplier
maxSimDotProduct(MultiBFloat16VectorsSource, float[][], float[]) - Static method in class org.elasticsearch.simdvec.ESVectorUtil: Computes max-sim dot product for float query vectors against a bfloat16 multi-vector source.
maxSimDotProduct(MultiBFloat16VectorsSource, float[][], float[]) - Method in class org.elasticsearch.simdvec.internal.vectorization.DefaultESVectorUtilSupport
maxSimDotProduct(MultiBFloat16VectorsSource, float[][], float[]) - Method in interface org.elasticsearch.simdvec.internal.vectorization.ESVectorUtilSupport
maxSimDotProduct(MultiBFloat16VectorsSource, float[][], float[]) - Method in class org.elasticsearch.simdvec.internal.vectorization.Native22ESVectorUtilSupport
maxSimDotProduct(MultiBFloat16VectorsSource, float[][], float[]) - Method in class org.elasticsearch.simdvec.internal.vectorization.PanamaESVectorUtilSupport
maxSimDotProduct(MultiByteVectorsSource, byte[][], float[]) - Static method in class org.elasticsearch.simdvec.ESVectorUtil: Computes max-sim dot product for byte query vectors against a multi-vector source.
maxSimDotProduct(MultiByteVectorsSource, byte[][], float[]) - Method in class org.elasticsearch.simdvec.internal.vectorization.DefaultESVectorUtilSupport
maxSimDotProduct(MultiByteVectorsSource, byte[][], float[]) - Method in interface org.elasticsearch.simdvec.internal.vectorization.ESVectorUtilSupport
maxSimDotProduct(MultiByteVectorsSource, byte[][], float[]) - Method in class org.elasticsearch.simdvec.internal.vectorization.Native22ESVectorUtilSupport
maxSimDotProduct(MultiByteVectorsSource, byte[][], float[]) - Method in class org.elasticsearch.simdvec.internal.vectorization.PanamaESVectorUtilSupport
maxSimDotProduct(MultiFloatVectorsSource, float[][], float[]) - Static method in class org.elasticsearch.simdvec.ESVectorUtil: Computes max-sim dot product for float query vectors against a multi-vector source.
maxSimDotProduct(MultiFloatVectorsSource, float[][], float[]) - Method in class org.elasticsearch.simdvec.internal.vectorization.DefaultESVectorUtilSupport
maxSimDotProduct(MultiFloatVectorsSource, float[][], float[]) - Method in interface org.elasticsearch.simdvec.internal.vectorization.ESVectorUtilSupport
maxSimDotProduct(MultiFloatVectorsSource, float[][], float[]) - Method in class org.elasticsearch.simdvec.internal.vectorization.Native22ESVectorUtilSupport
maxSimDotProduct(MultiFloatVectorsSource, float[][], float[]) - Method in class org.elasticsearch.simdvec.internal.vectorization.PanamaESVectorUtilSupport
MemorySegmentAccessInputAccess - Interface in org.elasticsearch.simdvec
MemorySegmentES91OSQVectorsScorer - Class in org.elasticsearch.simdvec.internal.vectorization: Panamized scorer for quantized vectors stored as a MemorySegment.
MemorySegmentES91OSQVectorsScorer(IndexInput, int, int) - Constructor for class org.elasticsearch.simdvec.internal.vectorization.MemorySegmentES91OSQVectorsScorer
MemorySegmentES92NativeInt7VectorsScorer - Class in org.elasticsearch.simdvec.internal: Native / panamized scorer for 7-bit quantized vectors stored as an IndexInput.
MemorySegmentES92NativeInt7VectorsScorer(IndexInput, int, int) - Constructor for class org.elasticsearch.simdvec.internal.MemorySegmentES92NativeInt7VectorsScorer
MemorySegmentES92PanamaInt7VectorsScorer - Class in org.elasticsearch.simdvec.internal: Panamized scorer for 7-bit quantized vectors stored as an IndexInput.
MemorySegmentES92PanamaInt7VectorsScorer(IndexInput, int, int) - Constructor for class org.elasticsearch.simdvec.internal.MemorySegmentES92PanamaInt7VectorsScorer
MemorySegmentES940OSQVectorsScorer - Class in org.elasticsearch.simdvec.internal.vectorization: Panamized scorer for quantized vectors stored as a MemorySegment.
MultiBFloat16VectorsSource - Interface in org.elasticsearch.simdvec
MultiByteVectorsSource - Interface in org.elasticsearch.simdvec
MultiFloatVectorsSource - Interface in org.elasticsearch.simdvec
MultiVectorsSource<T> - Interface in org.elasticsearch.simdvec: Source for a single document's multi-vector values.

N

Native22ESVectorUtilSupport - Class in org.elasticsearch.simdvec.internal.vectorization
Native22ESVectorUtilSupport() - Constructor for class org.elasticsearch.simdvec.internal.vectorization.Native22ESVectorUtilSupport
nativeApplyCorrectionsBulk(VectorSimilarityFunction, MemorySegment, int, int, float, float, int, float, float, float, float, MemorySegment) - Static method in class org.elasticsearch.simdvec.internal.vectorization.ScoreCorrections
nativeBbqApplyCorrectionsBulk(VectorSimilarityFunction, MemorySegment, int, int, int, int, float, float, int, float, float, float, float, boolean, MemorySegment) - Static method in class org.elasticsearch.simdvec.internal.vectorization.ScoreCorrections: Apply corrections to a bulk of scores, reading per-vector correction trailers inline at addresses[i] + vectorSizeInBytes (BBQ-style layout).
NativeBinaryQuantizedVectorScorer - Class in org.elasticsearch.simdvec.internal.vectorization
NativeBinaryQuantizedVectorScorer(IndexInput, int, int) - Constructor for class org.elasticsearch.simdvec.internal.vectorization.NativeBinaryQuantizedVectorScorer
newES91OSQVectorsScorer(IndexInput, int, int) - Method in interface org.elasticsearch.simdvec.VectorScorerFactory: Create a new ES91OSQVectorsScorer for the given IndexInput.
newES92Int7VectorsScorer(IndexInput, int, int) - Method in interface org.elasticsearch.simdvec.VectorScorerFactory: Create a new ES92Int7VectorsScorer for the given IndexInput.
newES93BinaryQuantizedVectorScorer(IndexInput, int, int) - Method in interface org.elasticsearch.simdvec.VectorScorerFactory
newES940OSQVectorsScorer(IndexInput, byte, byte, int, int, int, ES940OSQVectorsScorer.BitEncoding) - Method in interface org.elasticsearch.simdvec.VectorScorerFactory: Create a new ES940OSQVectorsScorer for the given IndexInput and explicit packed-vs-striped disk layout.
newFlatVectorsScorer() - Method in interface org.elasticsearch.simdvec.VectorScorerFactory: Create a new FlatVectorsScorer for scoring arbitrary flat vectors.
numBytes - Variable in class org.elasticsearch.simdvec.ES93BinaryQuantizedVectorScorer

O

of(byte, byte, ES940OSQVectorsScorer.BitEncoding) - Static method in enum class org.elasticsearch.simdvec.ES940OSQVectorsScorer.QuantEncoding
of(VectorSimilarityFunction) - Static method in enum class org.elasticsearch.simdvec.VectorSimilarityType: Converts from the given vector similarity type to this similarity type.
OffsetsScratch - Class in org.elasticsearch.simdvec.internal: Reusable, lazily-grown long[] scratch buffer.
OffsetsScratch() - Constructor for class org.elasticsearch.simdvec.internal.OffsetsScratch
OnHeapES91OSQVectorsScorer - Class in org.elasticsearch.simdvec.internal.vectorization: Panamized scorer for quantized vectors stored as a IndexInput.
OnHeapES91OSQVectorsScorer(IndexInput, int, int) - Constructor for class org.elasticsearch.simdvec.internal.vectorization.OnHeapES91OSQVectorsScorer
ord() - Method in record class org.elasticsearch.simdvec.internal.Int7uOSQVectorScorerSupplier.QueryContext: Returns the value of the ord record component.
org.elasticsearch.simdvec - module org.elasticsearch.simdvec: Contains Panama and native SIMD implementations of various vector operations.
org.elasticsearch.simdvec - package org.elasticsearch.simdvec
org.elasticsearch.simdvec.internal - package org.elasticsearch.simdvec.internal
org.elasticsearch.simdvec.internal.vectorization - package org.elasticsearch.simdvec.internal.vectorization

P

packAsBinary(int[], byte[]) - Static method in class org.elasticsearch.simdvec.ESVectorUtil: Packs the provided int array populated with "0" and "1" values into a byte array.
packAsBinary(int[], byte[]) - Method in class org.elasticsearch.simdvec.internal.vectorization.DefaultESVectorUtilSupport
packAsBinary(int[], byte[]) - Method in interface org.elasticsearch.simdvec.internal.vectorization.ESVectorUtilSupport
packAsBinary(int[], byte[]) - Method in class org.elasticsearch.simdvec.internal.vectorization.PanamaESVectorUtilSupport
packAsBinaryImpl(int[], byte[]) - Static method in class org.elasticsearch.simdvec.internal.vectorization.DefaultESVectorUtilSupport
packAsBytes(int[], byte[], int) - Static method in class org.elasticsearch.simdvec.ESVectorUtil: Narrows each of the first len ints to a byte by truncating to the low 8 bits, writing into dst[0..len).
packDibit(int[], byte[]) - Static method in class org.elasticsearch.simdvec.ESVectorUtil
packDibit(int[], byte[]) - Method in class org.elasticsearch.simdvec.internal.vectorization.DefaultESVectorUtilSupport
packDibit(int[], byte[]) - Method in interface org.elasticsearch.simdvec.internal.vectorization.ESVectorUtilSupport
packDibit(int[], byte[]) - Method in class org.elasticsearch.simdvec.internal.vectorization.PanamaESVectorUtilSupport
packDibitImpl(int[], byte[]) - Static method in class org.elasticsearch.simdvec.internal.vectorization.DefaultESVectorUtilSupport: Packs two bit vector (values 0-3) into a byte array with lower bits first.
packDibitQuad(int[], byte[]) - Static method in class org.elasticsearch.simdvec.ESVectorUtil
packDibitQuad(int[], byte[]) - Method in class org.elasticsearch.simdvec.internal.vectorization.DefaultESVectorUtilSupport
packDibitQuad(int[], byte[]) - Method in interface org.elasticsearch.simdvec.internal.vectorization.ESVectorUtilSupport
packDibitQuad(int[], byte[]) - Method in class org.elasticsearch.simdvec.internal.vectorization.PanamaESVectorUtilSupport
packDibitQuadImpl(int[], byte[]) - Static method in class org.elasticsearch.simdvec.internal.vectorization.DefaultESVectorUtilSupport
PACKED - Enum constant in enum class org.elasticsearch.simdvec.ES940OSQVectorsScorer.BitEncoding
PanamaESVectorUtilSupport - Class in org.elasticsearch.simdvec.internal.vectorization
PanamaESVectorUtilSupport() - Constructor for class org.elasticsearch.simdvec.internal.vectorization.PanamaESVectorUtilSupport
PanamaFlatVectorScorer - Class in org.elasticsearch.simdvec.internal: A FlatVectorsScorer that uses SIMD code to compare arrays.
PanamaFlatVectorScorer() - Constructor for class org.elasticsearch.simdvec.internal.PanamaFlatVectorScorer
PanamaVectorConstants - Class in org.elasticsearch.simdvec.internal.vectorization: Shared constants for implementations that take advantage of the Panama Vector API.
pow2DiffAndScaleNQT(float[], float[], float, float, float[]) - Static method in class org.elasticsearch.simdvec.ESVectorUtil: Compute the following operation: result[i] = pow(2, (a + v1[i] - v2[i]) / eps) This implementation uses the log-sum-exp trick for numerical stability.
pow2DiffAndScaleNQT(float[], float[], float, float, float[]) - Method in class org.elasticsearch.simdvec.internal.vectorization.DefaultESVectorUtilSupport
pow2DiffAndScaleNQT(float[], float[], float, float, float[]) - Method in interface org.elasticsearch.simdvec.internal.vectorization.ESVectorUtilSupport
pow2DiffAndScaleNQT(float[], float[], float, float, float[]) - Method in class org.elasticsearch.simdvec.internal.vectorization.PanamaESVectorUtilSupport
pow2NQT(float) - Static method in class org.elasticsearch.simdvec.MathUtils: Computes pow(2, exponent) using the NQT approximation.
PREFERRED_VECTOR_BITSIZE - Static variable in class org.elasticsearch.simdvec.internal.vectorization.PanamaVectorConstants: Preferred width in bits for vectors.

Q

QuantizedByteVectorValuesAccess - Interface in org.elasticsearch.simdvec
quantizedComponentSum() - Method in record class org.elasticsearch.simdvec.internal.Int7uOSQVectorScorerSupplier.QueryContext: Returns the value of the quantizedComponentSum record component.
quantizeScore(byte[]) - Method in class org.elasticsearch.simdvec.ES91OSQVectorsScorer: compute the quantize distance between the provided quantized query and the quantized vector that is read from the wrapped IndexInput.
quantizeScore(byte[]) - Method in class org.elasticsearch.simdvec.ES940OSQVectorsScorer: compute the quantize distance between the provided quantized query and the quantized vector that is read from the wrapped IndexInput.
quantizeScore(byte[]) - Method in class org.elasticsearch.simdvec.internal.vectorization.MemorySegmentES91OSQVectorsScorer
quantizeScore(byte[]) - Method in class org.elasticsearch.simdvec.internal.vectorization.MemorySegmentES940OSQVectorsScorer
quantizeScore(byte[]) - Method in class org.elasticsearch.simdvec.internal.vectorization.OnHeapES91OSQVectorsScorer
quantizeScoreBulk(byte[], int, float[]) - Method in class org.elasticsearch.simdvec.ES91OSQVectorsScorer: compute the quantize distance between the provided quantized query and the quantized vectors that are read from the wrapped IndexInput.
quantizeScoreBulk(byte[], int, float[]) - Method in class org.elasticsearch.simdvec.ES940OSQVectorsScorer: Compute the quantize distance between the provided quantized query and the quantized vectors that are read from the wrapped IndexInput.
quantizeScoreBulk(byte[], int, float[]) - Method in class org.elasticsearch.simdvec.internal.vectorization.MemorySegmentES91OSQVectorsScorer
quantizeScoreBulk(byte[], int, float[]) - Method in class org.elasticsearch.simdvec.internal.vectorization.MemorySegmentES940OSQVectorsScorer
quantizeScoreBulk(byte[], int, float[]) - Method in class org.elasticsearch.simdvec.internal.vectorization.OnHeapES91OSQVectorsScorer
quantizeScoreBulkOffsets(byte[], int[], int, float[], int) - Method in class org.elasticsearch.simdvec.ES940OSQVectorsScorer: Compute the quantize distance between the provided quantized query and the quantized vectors that are read from the wrapped IndexInput.
quantizeScoreBulkOffsets(byte[], int[], int, float[], int) - Method in class org.elasticsearch.simdvec.internal.vectorization.MemorySegmentES940OSQVectorsScorer
quantizeVectorWithIntervals(float[], int[], float, float, byte) - Static method in class org.elasticsearch.simdvec.ESVectorUtil: Optimized-scalar quantization of the provided vector to the provided destination array.
quantizeVectorWithIntervals(float[], int[], float, float, byte) - Method in class org.elasticsearch.simdvec.internal.vectorization.DefaultESVectorUtilSupport
quantizeVectorWithIntervals(float[], int[], float, float, byte) - Method in interface org.elasticsearch.simdvec.internal.vectorization.ESVectorUtilSupport
quantizeVectorWithIntervals(float[], int[], float, float, byte) - Method in class org.elasticsearch.simdvec.internal.vectorization.PanamaESVectorUtilSupport
queryBits() - Method in enum class org.elasticsearch.simdvec.ES940OSQVectorsScorer.QuantEncoding
QueryContext(int, float, float, float, int) - Constructor for record class org.elasticsearch.simdvec.internal.Int7uOSQVectorScorerSupplier.QueryContext: Creates an instance of a QueryContext record class.

S

score(byte[], float, float, int, float, VectorSimilarityFunction, float) - Method in class org.elasticsearch.simdvec.ES92Int7VectorsScorer: Computes the score by applying the necessary corrections to the provided quantized distance.
score(byte[], float, float, int, float, VectorSimilarityFunction, float, int) - Method in class org.elasticsearch.simdvec.ES93BinaryQuantizedVectorScorer
score(byte[], float, float, int, float, VectorSimilarityFunction, float, int) - Method in class org.elasticsearch.simdvec.internal.vectorization.DefaultES93BinaryQuantizedVectorScorer
score(byte[], float, float, int, float, VectorSimilarityFunction, float, int) - Method in class org.elasticsearch.simdvec.internal.vectorization.NativeBinaryQuantizedVectorScorer
score(float, float, int, float, VectorSimilarityFunction, float, float, float, int, float, float) - Method in class org.elasticsearch.simdvec.ES91OSQVectorsScorer: Computes the score by applying the necessary corrections to the provided quantized distance.
score(int) - Method in class org.elasticsearch.simdvec.internal.BFloat16VectorScorer.DotProductScorer
score(int) - Method in class org.elasticsearch.simdvec.internal.BFloat16VectorScorer.EuclideanScorer
score(int) - Method in class org.elasticsearch.simdvec.internal.BFloat16VectorScorer.MaxInnerProductScorer
score(int) - Method in class org.elasticsearch.simdvec.internal.Float32VectorScorer.DotProductScorer
score(int) - Method in class org.elasticsearch.simdvec.internal.Float32VectorScorer.EuclideanScorer
score(int) - Method in class org.elasticsearch.simdvec.internal.Float32VectorScorer.MaxInnerProductScorer
score(int) - Method in class org.elasticsearch.simdvec.internal.Int4VectorScorer
score(int) - Method in class org.elasticsearch.simdvec.internal.Int7SQVectorScorer.DotProductScorer
score(int) - Method in class org.elasticsearch.simdvec.internal.Int7SQVectorScorer.EuclideanScorer
score(int) - Method in class org.elasticsearch.simdvec.internal.Int7SQVectorScorer.MaxInnerProductScorer
score(int) - Method in class org.elasticsearch.simdvec.internal.Int7uOSQVectorScorer
score(int) - Method in class org.elasticsearch.simdvec.internal.Int8VectorScorer.CosineScorer
score(int) - Method in class org.elasticsearch.simdvec.internal.Int8VectorScorer.DotProductScorer
score(int) - Method in class org.elasticsearch.simdvec.internal.Int8VectorScorer.EuclideanScorer
score(int) - Method in class org.elasticsearch.simdvec.internal.Int8VectorScorer.MaxInnerProductScorer
scoreBulk(byte[], float, float, int, float, VectorSimilarityFunction, float, float[]) - Method in class org.elasticsearch.simdvec.ES91OSQVectorsScorer: compute the distance between the provided quantized query and the quantized vectors that are read from the wrapped IndexInput.
scoreBulk(byte[], float, float, int, float, VectorSimilarityFunction, float, float[]) - Method in class org.elasticsearch.simdvec.ES940OSQVectorsScorer: Bulk score overload; same as ES940OSQVectorsScorer.scoreBulk(byte[], float, float, int, float, VectorSimilarityFunction, float, float[], int) with ES940OSQVectorsScorer.bulkSize as the default bulkSize param value.
scoreBulk(byte[], float, float, int, float, VectorSimilarityFunction, float, float[]) - Method in class org.elasticsearch.simdvec.internal.vectorization.MemorySegmentES91OSQVectorsScorer
scoreBulk(byte[], float, float, int, float, VectorSimilarityFunction, float, float[]) - Method in class org.elasticsearch.simdvec.internal.vectorization.MemorySegmentES940OSQVectorsScorer
scoreBulk(byte[], float, float, int, float, VectorSimilarityFunction, float, float[]) - Method in class org.elasticsearch.simdvec.internal.vectorization.OnHeapES91OSQVectorsScorer
scoreBulk(byte[], float, float, int, float, VectorSimilarityFunction, float, float[], int) - Method in class org.elasticsearch.simdvec.ES92Int7VectorsScorer: compute the distance between the provided quantized query and the quantized vectors that are read from the wrapped IndexInput.
scoreBulk(byte[], float, float, int, float, VectorSimilarityFunction, float, float[], int) - Method in class org.elasticsearch.simdvec.ES940OSQVectorsScorer: Compute the distance between the provided quantized query and the quantized vectors that are read from the wrapped IndexInput.
scoreBulk(byte[], float, float, int, float, VectorSimilarityFunction, float, float[], int) - Method in class org.elasticsearch.simdvec.internal.MemorySegmentES92NativeInt7VectorsScorer
scoreBulk(byte[], float, float, int, float, VectorSimilarityFunction, float, float[], int) - Method in class org.elasticsearch.simdvec.internal.MemorySegmentES92PanamaInt7VectorsScorer
scoreBulk(byte[], float, float, int, float, VectorSimilarityFunction, float, float[], int) - Method in class org.elasticsearch.simdvec.internal.vectorization.MemorySegmentES940OSQVectorsScorer
scoreBulk(byte[], float, float, int, float, VectorSimilarityFunction, float, int[], float[], int) - Method in class org.elasticsearch.simdvec.ES93BinaryQuantizedVectorScorer
scoreBulk(byte[], float, float, int, float, VectorSimilarityFunction, float, int[], float[], int) - Method in class org.elasticsearch.simdvec.internal.vectorization.NativeBinaryQuantizedVectorScorer
scoreBulkOffsets(byte[], float, float, int, float, VectorSimilarityFunction, float, int[], int, float[], int) - Method in class org.elasticsearch.simdvec.ES940OSQVectorsScorer: Compute the distance between the provided quantized query and the quantized vectors that are read from the wrapped IndexInput.
scoreBulkOffsets(byte[], float, float, int, float, VectorSimilarityFunction, float, int[], int, float[], int) - Method in class org.elasticsearch.simdvec.internal.vectorization.MemorySegmentES940OSQVectorsScorer
ScoreCorrections - Class in org.elasticsearch.simdvec.internal.vectorization
ScoreCorrections() - Constructor for class org.elasticsearch.simdvec.internal.vectorization.ScoreCorrections
scoreFromOrds(Int7uOSQVectorScorerSupplier.QueryContext, int) - Method in class org.elasticsearch.simdvec.internal.Int7uOSQVectorScorerSupplier
scoreFromSegments(MemorySegment, float, MemorySegment, float) - Method in class org.elasticsearch.simdvec.internal.Int7SQVectorScorerSupplier.DotProductSupplier
scoreFromSegments(MemorySegment, float, MemorySegment, float) - Method in class org.elasticsearch.simdvec.internal.Int7SQVectorScorerSupplier.EuclideanSupplier
scoreFromSegments(MemorySegment, float, MemorySegment, float) - Method in class org.elasticsearch.simdvec.internal.Int7SQVectorScorerSupplier.MaxInnerProductSupplier
scoreFromSegments(MemorySegment, float, MemorySegment, float) - Method in class org.elasticsearch.simdvec.internal.Int7SQVectorScorerSupplier
scorer() - Method in class org.elasticsearch.simdvec.internal.BFloat16VectorScorerSupplier
scorer() - Method in class org.elasticsearch.simdvec.internal.Float32VectorScorerSupplier
scorer() - Method in class org.elasticsearch.simdvec.internal.Int4VectorScorerSupplier
scorer() - Method in class org.elasticsearch.simdvec.internal.Int7SQVectorScorerSupplier
scorer() - Method in class org.elasticsearch.simdvec.internal.Int7uOSQVectorScorerSupplier
scorer() - Method in class org.elasticsearch.simdvec.internal.Int8VectorScorerSupplier
SEVEN_BIT_SCALE - Static variable in class org.elasticsearch.simdvec.ES92Int7VectorsScorer
Similarities - Class in org.elasticsearch.simdvec.internal
Similarities() - Constructor for class org.elasticsearch.simdvec.internal.Similarities
slice - Variable in class org.elasticsearch.simdvec.internal.vectorization.DefaultES93BinaryQuantizedVectorScorer
soarDistance(byte[], byte[], float[], float, float) - Static method in class org.elasticsearch.simdvec.ESVectorUtil: Compute the SOAR distance between a byte vector and a byte centroid.
soarDistance(byte[], byte[], float[], float, float) - Method in class org.elasticsearch.simdvec.internal.vectorization.DefaultESVectorUtilSupport
soarDistance(byte[], byte[], float[], float, float) - Method in interface org.elasticsearch.simdvec.internal.vectorization.ESVectorUtilSupport
soarDistance(byte[], byte[], float[], float, float) - Method in class org.elasticsearch.simdvec.internal.vectorization.PanamaESVectorUtilSupport
soarDistance(float[], float[], float[], float, float) - Static method in class org.elasticsearch.simdvec.ESVectorUtil: calculates the soar distance for a vector and a centroid
soarDistance(float[], float[], float[], float, float) - Method in class org.elasticsearch.simdvec.internal.vectorization.DefaultESVectorUtilSupport
soarDistance(float[], float[], float[], float, float) - Method in interface org.elasticsearch.simdvec.internal.vectorization.ESVectorUtilSupport
soarDistance(float[], float[], float[], float, float) - Method in class org.elasticsearch.simdvec.internal.vectorization.PanamaESVectorUtilSupport
soarDistanceBulk(byte[], byte[], byte[], byte[], byte[], float[], float, float, float[]) - Static method in class org.elasticsearch.simdvec.ESVectorUtil: Calculates SOAR distances between a byte query vector and 4 byte centroid vectors in bulk.
soarDistanceBulk(byte[], byte[], byte[], byte[], byte[], float[], float, float, float[]) - Method in class org.elasticsearch.simdvec.internal.vectorization.DefaultESVectorUtilSupport
soarDistanceBulk(byte[], byte[], byte[], byte[], byte[], float[], float, float, float[]) - Method in interface org.elasticsearch.simdvec.internal.vectorization.ESVectorUtilSupport
soarDistanceBulk(byte[], byte[], byte[], byte[], byte[], float[], float, float, float[]) - Method in class org.elasticsearch.simdvec.internal.vectorization.PanamaESVectorUtilSupport
soarDistanceBulk(float[], float[], float[], float[], float[], float[], float, float, float[]) - Static method in class org.elasticsearch.simdvec.ESVectorUtil: Bulk computation of the soar distance for a vector to four centroids
soarDistanceBulk(float[], float[], float[], float[], float[], float[], float, float, float[]) - Method in class org.elasticsearch.simdvec.internal.vectorization.DefaultESVectorUtilSupport
soarDistanceBulk(float[], float[], float[], float[], float[], float[], float, float, float[]) - Method in interface org.elasticsearch.simdvec.internal.vectorization.ESVectorUtilSupport
soarDistanceBulk(float[], float[], float[], float[], float[], float[], float, float, float[]) - Method in class org.elasticsearch.simdvec.internal.vectorization.PanamaESVectorUtilSupport
sqrt(float) - Static method in class org.elasticsearch.simdvec.MathUtils: Computes the squared root of x.
squareDistance(byte[], byte[]) - Static method in class org.elasticsearch.simdvec.ESVectorUtil
squareDistance(byte[], byte[]) - Method in class org.elasticsearch.simdvec.internal.vectorization.DefaultESVectorUtilSupport
squareDistance(byte[], byte[]) - Method in interface org.elasticsearch.simdvec.internal.vectorization.ESVectorUtilSupport: Returns the sum of squared differences of the two vectors.
squareDistance(byte[], byte[]) - Method in class org.elasticsearch.simdvec.internal.vectorization.Native22ESVectorUtilSupport
squareDistance(byte[], byte[]) - Method in class org.elasticsearch.simdvec.internal.vectorization.PanamaESVectorUtilSupport
squareDistance(byte[], byte[], int, int) - Static method in class org.elasticsearch.simdvec.ESVectorUtil: Returns the sum of squared differences of the two byte vectors over a sub-range.
squareDistance(byte[], byte[], int, int) - Method in class org.elasticsearch.simdvec.internal.vectorization.DefaultESVectorUtilSupport
squareDistance(byte[], byte[], int, int) - Method in interface org.elasticsearch.simdvec.internal.vectorization.ESVectorUtilSupport: Returns the sum of squared differences of the two byte vectors over a sub-range.
squareDistance(byte[], byte[], int, int) - Method in class org.elasticsearch.simdvec.internal.vectorization.Native22ESVectorUtilSupport
squareDistance(byte[], byte[], int, int) - Method in class org.elasticsearch.simdvec.internal.vectorization.PanamaESVectorUtilSupport
squareDistance(float[], float[]) - Static method in class org.elasticsearch.simdvec.ESVectorUtil
squareDistance(float[], float[]) - Method in class org.elasticsearch.simdvec.internal.vectorization.DefaultESVectorUtilSupport
squareDistance(float[], float[]) - Method in interface org.elasticsearch.simdvec.internal.vectorization.ESVectorUtilSupport: Returns the sum of squared differences of the two vectors.
squareDistance(float[], float[]) - Method in class org.elasticsearch.simdvec.internal.vectorization.Native22ESVectorUtilSupport
squareDistance(float[], float[]) - Method in class org.elasticsearch.simdvec.internal.vectorization.PanamaESVectorUtilSupport
squareDistance(float[], float[], int, int) - Static method in class org.elasticsearch.simdvec.ESVectorUtil
squareDistance(float[], float[], int, int) - Method in class org.elasticsearch.simdvec.internal.vectorization.DefaultESVectorUtilSupport
squareDistance(float[], float[], int, int) - Method in interface org.elasticsearch.simdvec.internal.vectorization.ESVectorUtilSupport: Returns the sum of squared differences over [offset, offset + length).
squareDistance(float[], float[], int, int) - Method in class org.elasticsearch.simdvec.internal.vectorization.Native22ESVectorUtilSupport
squareDistance(float[], float[], int, int) - Method in class org.elasticsearch.simdvec.internal.vectorization.PanamaESVectorUtilSupport
squareDistanceBulk(byte[], byte[], byte[], byte[], byte[], int, float[]) - Static method in class org.elasticsearch.simdvec.ESVectorUtil: Bulk computation of square distances from a byte query vector to four byte candidate vectors.
squareDistanceBulk(byte[], int, byte[], byte[], byte[], byte[], int, float[], int) - Method in class org.elasticsearch.simdvec.internal.vectorization.DefaultESVectorUtilSupport
squareDistanceBulk(byte[], int, byte[], byte[], byte[], byte[], int, float[], int) - Method in interface org.elasticsearch.simdvec.internal.vectorization.ESVectorUtilSupport
squareDistanceBulk(byte[], int, byte[], byte[], byte[], byte[], int, float[], int) - Method in class org.elasticsearch.simdvec.internal.vectorization.PanamaESVectorUtilSupport
squareDistanceBulk(byte[], int, int, byte[], byte[], byte[], byte[], float[]) - Static method in class org.elasticsearch.simdvec.ESVectorUtil: Bulk computation of square distances from a sub-range of a byte query vector to four byte candidate vectors.
squareDistanceBulk(float[], float[], float[], float[], float[], int, float[]) - Static method in class org.elasticsearch.simdvec.ESVectorUtil: Bulk computation of square distances between a query vector and four vectors.Result is stored in the provided distances array.
squareDistanceBulk(float[], int, float[], float[], float[], float[], int, float[], int) - Method in class org.elasticsearch.simdvec.internal.vectorization.DefaultESVectorUtilSupport
squareDistanceBulk(float[], int, float[], float[], float[], float[], int, float[], int) - Method in interface org.elasticsearch.simdvec.internal.vectorization.ESVectorUtilSupport
squareDistanceBulk(float[], int, float[], float[], float[], float[], int, float[], int) - Method in class org.elasticsearch.simdvec.internal.vectorization.PanamaESVectorUtilSupport
squareDistanceBulk(float[], int, int, float[], float[], float[], float[], float[]) - Static method in class org.elasticsearch.simdvec.ESVectorUtil
squareDistanceDBF16QBF16(MemorySegment, MemorySegment, int) - Static method in class org.elasticsearch.simdvec.internal.Similarities
squareDistanceDBF16QF32(MemorySegment, MemorySegment, int) - Static method in class org.elasticsearch.simdvec.internal.Similarities
squareDistanceF32(MemorySegment, MemorySegment, int) - Static method in class org.elasticsearch.simdvec.internal.Similarities
squareDistanceI8(MemorySegment, MemorySegment, int) - Static method in class org.elasticsearch.simdvec.internal.Similarities
STRIPED - Enum constant in enum class org.elasticsearch.simdvec.ES940OSQVectorsScorer.BitEncoding
subtract(float[], float[], float[]) - Static method in class org.elasticsearch.simdvec.ESVectorUtil: Calculates the difference between two vectors and stores the result in a third vector.
sum(float[], int) - Static method in class org.elasticsearch.simdvec.ESVectorUtil
SUPPORTS_HEAP_SEGMENTS - Static variable in class org.elasticsearch.simdvec.internal.vectorization.JdkFeatures: Whether the current JDK supports passing heap-backed MemorySegments to native downcalls.
supportsQuantization(byte, byte) - Static method in class org.elasticsearch.simdvec.ES940OSQVectorsScorer

T

targetComponentSums - Variable in class org.elasticsearch.simdvec.ES91OSQVectorsScorer
targetComponentSums - Variable in class org.elasticsearch.simdvec.ES940OSQVectorsScorer
The algorithm - Search tag in org.elasticsearch.simdvec.internal.vectorization.DefaultESVectorUtilSupport.ipByteBinByteImpl(byte[], byte[]): Section
toString() - Method in class org.elasticsearch.simdvec.internal.ESDefaultFlatVectorScorer
toString() - Method in record class org.elasticsearch.simdvec.internal.Int7uOSQVectorScorerSupplier.QueryContext: Returns a string representation of this record class.
toString() - Method in class org.elasticsearch.simdvec.internal.PanamaFlatVectorScorer
transposeHalfByte(int[], byte[]) - Static method in class org.elasticsearch.simdvec.ESVectorUtil: The idea here is to organize the query vector bits such that the first bit of every dimension is in the first set dimensions bits, or (dimensions/8) bytes.
transposeHalfByte(int[], byte[]) - Method in class org.elasticsearch.simdvec.internal.vectorization.DefaultESVectorUtilSupport
transposeHalfByte(int[], byte[]) - Method in interface org.elasticsearch.simdvec.internal.vectorization.ESVectorUtilSupport
transposeHalfByte(int[], byte[]) - Method in class org.elasticsearch.simdvec.internal.vectorization.PanamaESVectorUtilSupport
transposeHalfByteImpl(int[], byte[]) - Static method in class org.elasticsearch.simdvec.internal.vectorization.DefaultESVectorUtilSupport
truncateToBFloat16(float) - Static method in class org.elasticsearch.simdvec.BFloat16Support

U

unwrap(IndexInput) - Static method in interface org.elasticsearch.simdvec.MemorySegmentAccessInputAccess: Unwraps to the underlying MemorySegmentAccessInput if available, otherwise returns the input unchanged.
upperInterval() - Method in record class org.elasticsearch.simdvec.internal.Int7uOSQVectorScorerSupplier.QueryContext: Returns the value of the upperInterval record component.
upperIntervals - Variable in class org.elasticsearch.simdvec.ES91OSQVectorsScorer
upperIntervals - Variable in class org.elasticsearch.simdvec.ES940OSQVectorsScorer
usesNative() - Method in interface org.elasticsearch.simdvec.VectorScorerFactory: true if this factory uses native code anywhere.
usingNative(IndexInput, byte, byte, int, int, int, ES940OSQVectorsScorer.BitEncoding) - Static method in class org.elasticsearch.simdvec.internal.vectorization.MemorySegmentES940OSQVectorsScorer
usingPanama(IndexInput, byte, byte, int, int, int, ES940OSQVectorsScorer.BitEncoding) - Static method in class org.elasticsearch.simdvec.internal.vectorization.MemorySegmentES940OSQVectorsScorer

V

valueOf(String) - Static method in enum class org.elasticsearch.simdvec.ES940OSQVectorsScorer.BitEncoding: Returns the enum constant of this class with the specified name.
valueOf(String) - Static method in enum class org.elasticsearch.simdvec.ES940OSQVectorsScorer.QuantEncoding: Returns the enum constant of this class with the specified name.
valueOf(String) - Static method in enum class org.elasticsearch.simdvec.VectorSimilarityType: Returns the enum constant of this class with the specified name.
values - Variable in class org.elasticsearch.simdvec.internal.Int7uOSQVectorScorerSupplier
values() - Static method in enum class org.elasticsearch.simdvec.ES940OSQVectorsScorer.BitEncoding: Returns an array containing the constants of this enum class, in the order they are declared.
values() - Static method in enum class org.elasticsearch.simdvec.ES940OSQVectorsScorer.QuantEncoding: Returns an array containing the constants of this enum class, in the order they are declared.
values() - Static method in enum class org.elasticsearch.simdvec.VectorSimilarityType: Returns an array containing the constants of this enum class, in the order they are declared.
vectorBytes() - Method in interface org.elasticsearch.simdvec.MultiVectorsSource: Encoded vector bytes for all vectors in this source, or null if only iterator access is available.
vectorByteSize() - Method in interface org.elasticsearch.simdvec.MultiVectorsSource: Encoded byte size per vector.
vectorCount() - Method in interface org.elasticsearch.simdvec.MultiVectorsSource: Number of vectors available in this source.
vectorDims() - Method in interface org.elasticsearch.simdvec.MultiVectorsSource: Dimensions per vector in this source.
vectorPitch - Variable in class org.elasticsearch.simdvec.internal.Int7uOSQVectorScorerSupplier
VectorScorerFactory - Interface in org.elasticsearch.simdvec
VectorSimilarityType - Enum Class in org.elasticsearch.simdvec: Vector similarity type.
vectorValues() - Method in interface org.elasticsearch.simdvec.MultiVectorsSource: Iterator over decoded vectors for scalar scoring paths.

W

withSlice(IndexInput, long, IntFunction<byte[]>, CheckedFunction<MemorySegment, R, IOException>) - Static method in class org.elasticsearch.simdvec.internal.IndexInputUtils: Obtains a memory segment for the next length bytes of the index input, passes it to action, and returns the result.
withSliceAddresses(IndexInput, long[], int, int, IntFunction<MemorySegment>, CheckedConsumer<MemorySegment, IOException>) - Static method in class org.elasticsearch.simdvec.internal.IndexInputUtils: Resolves count file ranges to native memory addresses and passes the address array to the action.

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