Documentation
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Overview ¶
Package inmemory provides an in-memory vector store implementation.
Index ¶
- type Store
- func (s *Store) AddDocuments(ctx context.Context, documents []*core.Document) ([]string, error)
- func (s *Store) Delete(_ context.Context, ids []string) error
- func (s *Store) GetEmbedder() embeddings.Embedder
- func (s *Store) SimilaritySearch(ctx context.Context, query string, k int) ([]*core.Document, error)
- func (s *Store) SimilaritySearchWithScore(ctx context.Context, query string, k int) ([]vectorstores.DocumentWithScore, error)
Constants ¶
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Variables ¶
This section is empty.
Functions ¶
This section is empty.
Types ¶
type Store ¶
type Store struct {
// contains filtered or unexported fields
}
Store is an in-memory vector store that uses cosine similarity.
func (*Store) AddDocuments ¶
AddDocuments embeds and stores documents.
func (*Store) GetEmbedder ¶
func (s *Store) GetEmbedder() embeddings.Embedder
GetEmbedder returns the embedder.
func (*Store) SimilaritySearch ¶
func (s *Store) SimilaritySearch(ctx context.Context, query string, k int) ([]*core.Document, error)
SimilaritySearch finds the k most similar documents to the query.
func (*Store) SimilaritySearchWithScore ¶
func (s *Store) SimilaritySearchWithScore(ctx context.Context, query string, k int) ([]vectorstores.DocumentWithScore, error)
SimilaritySearchWithScore finds the k most similar documents with scores.
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