embeddings

package
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Published: Nov 27, 2025 License: MIT Imports: 7 Imported by: 0

Documentation

Index

Constants

This section is empty.

Variables

This section is empty.

Functions

func CosineSimilarity

func CosineSimilarity(a, b []float32) (float32, error)

CosineSimilarity calculates cosine similarity between two vectors

Types

type EmbeddingGenerator

type EmbeddingGenerator struct {
	// contains filtered or unexported fields
}

EmbeddingGenerator generates embeddings for text using BGE model

func NewEmbeddingGenerator

func NewEmbeddingGenerator(enabled bool) *EmbeddingGenerator

NewEmbeddingGenerator creates a new embedding generator

func (*EmbeddingGenerator) Close

func (e *EmbeddingGenerator) Close() error

Close releases resources

func (*EmbeddingGenerator) Dimension

func (e *EmbeddingGenerator) Dimension() int

Dimension returns the embedding dimension

func (*EmbeddingGenerator) Generate

func (e *EmbeddingGenerator) Generate(text string) ([]float32, error)

Generate creates an embedding vector for the given text

func (*EmbeddingGenerator) Initialize

func (e *EmbeddingGenerator) Initialize(modelsDir string) error

Initialize loads the ONNX model and tokenizer

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