Index

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

A

additionalCorrections - Variable in class org.elasticsearch.simdvec.ES91Int4VectorsScorer

additionalCorrections - Variable in class org.elasticsearch.simdvec.ES91OSQVectorsScorer

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.ES91Int4VectorsScorer

Computes the score by applying the necessary corrections to the provided quantized distance.

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.

B

B_QUERY - Static variable in interface org.elasticsearch.simdvec.internal.vectorization.ESVectorUtilSupport

The number of bits in bit-quantized query vectors

BULK_SIZE - Static variable in class org.elasticsearch.simdvec.ES91Int4VectorsScorer

BULK_SIZE - Static variable in class org.elasticsearch.simdvec.ES91OSQVectorsScorer

BULK_SIZE - Static variable in class org.elasticsearch.simdvec.ES92Int7VectorsScorer

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 interface org.elasticsearch.simdvec.internal.vectorization.ESVectorUtilSupport

calculateOSQLoss(float[], float, float, float, float, float, float, int[]) - Method in interface org.elasticsearch.simdvec.internal.vectorization.ESVectorUtilSupport

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

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 interface org.elasticsearch.simdvec.internal.vectorization.ESVectorUtilSupport

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 interface org.elasticsearch.simdvec.internal.vectorization.ESVectorUtilSupport

COSINE - Enum constant in enum class org.elasticsearch.simdvec.VectorSimilarityType

D

dimensions - Variable in class org.elasticsearch.simdvec.ES91Int4VectorsScorer

dimensions - Variable in class org.elasticsearch.simdvec.ES91OSQVectorsScorer

dimensions - Variable in class org.elasticsearch.simdvec.ES92Int7VectorsScorer

DOT_PRODUCT - Enum constant in enum class org.elasticsearch.simdvec.VectorSimilarityType

E

ES91Int4VectorsScorer - Class in org.elasticsearch.simdvec

Scorer for quantized vectors stored as an IndexInput.

ES91Int4VectorsScorer(IndexInput, int) - Constructor for class org.elasticsearch.simdvec.ES91Int4VectorsScorer

Sole constructor, called by sub-classes.

ES91OSQVectorsScorer - Class in org.elasticsearch.simdvec

Scorer for quantized vectors stored as an IndexInput.

ES91OSQVectorsScorer(IndexInput, 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) - Constructor for class org.elasticsearch.simdvec.ES92Int7VectorsScorer

Sole constructor, called by sub-classes.

ESVectorizationProvider - Class in org.elasticsearch.simdvec.internal.vectorization

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

F

FOUR_BIT_SCALE - Static variable in class org.elasticsearch.simdvec.ES91Int4VectorsScorer

FOUR_BIT_SCALE - Static variable in class org.elasticsearch.simdvec.ES91OSQVectorsScorer

G

getES91Int4VectorsScorer(IndexInput, int) - Static method in class org.elasticsearch.simdvec.ESVectorUtil

getES91OSQVectorsScorer(IndexInput, int) - Static method in class org.elasticsearch.simdvec.ESVectorUtil

getES92Int7VectorsScorer(IndexInput, int) - Static method in class org.elasticsearch.simdvec.ESVectorUtil

getInstance() - Static method in class org.elasticsearch.simdvec.internal.vectorization.ESVectorizationProvider

getInt7SQVectorScorer(VectorSimilarityFunction, QuantizedByteVectorValues, 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, QuantizedByteVectorValues, 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.

getVectorUtilSupport() - Method in class org.elasticsearch.simdvec.internal.vectorization.ESVectorizationProvider

H

hasNativeAccess() - Method in class org.elasticsearch.simdvec.ES92Int7VectorsScorer

Checks if the current implementation supports fast native access.

I

in - Variable in class org.elasticsearch.simdvec.ES91Int4VectorsScorer

The wrapper IndexInput.

in - Variable in class org.elasticsearch.simdvec.ES91OSQVectorsScorer

The wrapper IndexInput.

in - Variable in class org.elasticsearch.simdvec.ES92Int7VectorsScorer

The wrapper IndexInput.

instance() - Static method in interface org.elasticsearch.simdvec.VectorScorerFactory

int4DotProduct(byte[]) - Method in class org.elasticsearch.simdvec.ES91Int4VectorsScorer

compute the quantize distance between the provided quantized query and the quantized vector that is read from the wrapped IndexInput.

int4DotProductBulk(byte[], int, float[]) - Method in class org.elasticsearch.simdvec.ES91Int4VectorsScorer

compute the quantize distance between the provided quantized query and the quantized vectors that are read from the wrapped IndexInput.

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.

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.

ipByteBinByte(byte[], byte[]) - Static method in class org.elasticsearch.simdvec.ESVectorUtil

ipByteBinByte(byte[], byte[]) - Method in interface org.elasticsearch.simdvec.internal.vectorization.ESVectorUtilSupport

Compute dot product between q and 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 interface org.elasticsearch.simdvec.internal.vectorization.ESVectorUtilSupport

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 interface org.elasticsearch.simdvec.internal.vectorization.ESVectorUtilSupport

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 interface org.elasticsearch.simdvec.internal.vectorization.ESVectorUtilSupport

L

length - Variable in class org.elasticsearch.simdvec.ES91OSQVectorsScorer

lowerIntervals - Variable in class org.elasticsearch.simdvec.ES91Int4VectorsScorer

lowerIntervals - Variable in class org.elasticsearch.simdvec.ES91OSQVectorsScorer

M

MAXIMUM_INNER_PRODUCT - Enum constant in enum class org.elasticsearch.simdvec.VectorSimilarityType

N

newES91Int4VectorsScorer(IndexInput, int) - Method in class org.elasticsearch.simdvec.internal.vectorization.ESVectorizationProvider

Create a new ES91Int4VectorsScorer for the given IndexInput.

newES91OSQVectorsScorer(IndexInput, int) - Method in class org.elasticsearch.simdvec.internal.vectorization.ESVectorizationProvider

Create a new ES91OSQVectorsScorer for the given IndexInput.

newES92Int7VectorsScorer(IndexInput, int) - Method in class org.elasticsearch.simdvec.internal.vectorization.ESVectorizationProvider

Create a new ES92Int7VectorsScorer for the given IndexInput.

O

of(VectorSimilarityFunction) - Static method in enum class org.elasticsearch.simdvec.VectorSimilarityType

Converts from the given vector similarity type to this similarity type.

of(VectorSimilarityType) - Static method in enum class org.elasticsearch.simdvec.VectorSimilarityType

Converts from this vector similarity type to VectorSimilarityFunction.

org.elasticsearch.simdvec - module org.elasticsearch.simdvec

org.elasticsearch.simdvec - package org.elasticsearch.simdvec

org.elasticsearch.simdvec.internal.vectorization - package org.elasticsearch.simdvec.internal.vectorization

Q

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.

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.

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 interface org.elasticsearch.simdvec.internal.vectorization.ESVectorUtilSupport

S

score(byte[], float, float, int, float, VectorSimilarityFunction, float) - Method in class org.elasticsearch.simdvec.ES91Int4VectorsScorer

Computes the score by applying the necessary corrections to the provided quantized distance.

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(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.

scoreBulk(byte[], float, float, int, float, VectorSimilarityFunction, float, float[]) - Method in class org.elasticsearch.simdvec.ES91Int4VectorsScorer

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.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.ES92Int7VectorsScorer

compute the distance between the provided quantized query and the quantized vectors that are read from the wrapped IndexInput.

scratch - Variable in class org.elasticsearch.simdvec.ES91Int4VectorsScorer

SEVEN_BIT_SCALE - Static variable in class org.elasticsearch.simdvec.ES92Int7VectorsScorer

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 interface org.elasticsearch.simdvec.internal.vectorization.ESVectorUtilSupport

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 interface org.elasticsearch.simdvec.internal.vectorization.ESVectorUtilSupport

squareDistanceBulk(float[], float[], float[], float[], float[], 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[], float[], float[], float[], float[], float[]) - Method in interface org.elasticsearch.simdvec.internal.vectorization.ESVectorUtilSupport

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.

T

targetComponentSums - Variable in class org.elasticsearch.simdvec.ES91Int4VectorsScorer

targetComponentSums - Variable in class org.elasticsearch.simdvec.ES91OSQVectorsScorer

U

upperIntervals - Variable in class org.elasticsearch.simdvec.ES91Int4VectorsScorer

upperIntervals - Variable in class org.elasticsearch.simdvec.ES91OSQVectorsScorer

V

valueOf(String) - Static method in enum class org.elasticsearch.simdvec.VectorSimilarityType

Returns the enum constant of this class with the specified name.

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.

VectorScorerFactory - Interface in org.elasticsearch.simdvec

A factory of quantized vector scorers.

VectorSimilarityType - Enum Class in org.elasticsearch.simdvec

Vector similarity type.

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