similarity

package
v0.11.0 Latest Latest
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Published: Mar 4, 2026 License: Apache-2.0 Imports: 10 Imported by: 0

Documentation

Overview

Package similarity provides vector distance functions for semantic search.

Index

Constants

This section is empty.

Variables

This section is empty.

Functions

func CosineDistance

func CosineDistance(a, b []float32) float64

CosineDistance computes the cosine distance between two vectors. Returns a value in [0, 2] where 0 means identical direction and 2 means opposite direction. Lower values indicate more similar vectors.

func CosineSimilarity

func CosineSimilarity(a, b []float32) float64

CosineSimilarity computes the cosine similarity between two vectors. Returns a value in [-1, 1] where 1 means identical direction, 0 means orthogonal, and -1 means opposite direction. Both vectors must have the same length.

func NewEmbeddingClient added in v0.10.1

func NewEmbeddingClient(cfg *types.OptimizerConfig) (types.EmbeddingClient, error)

NewEmbeddingClient creates an EmbeddingClient from the given optimizer configuration. It returns (nil, nil) if cfg is nil or no embedding service URL is configured, meaning semantic search will be disabled.

Types

This section is empty.

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