Index (simdvec 9.2.0-SNAPSHOT API)

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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

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

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

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 P Q S T U V
All Classes and Interfaces|All Packages|Constant Field Values