vectorstores

type DocumentWithScore struct {
	Document schema.Document
	Score    float32
}

type Option func(*Options)

type Options struct {
	Embedder       embeddings.Embedder
	NameSpace      string
	ScoreThreshold float32
	Filters        map[string]any
}

type Retriever interface {
	GetRelevantDocuments(ctx context.Context, query string) ([]schema.Document, error)
}

type VectorStore interface {
	AddDocuments(ctx context.Context, docs []schema.Document, options ...Option) ([]string, error)
	SimilaritySearch(ctx context.Context, query string, numDocuments int, options ...Option) ([]schema.Document, error)
	SimilaritySearchBatch(ctx context.Context, queries []string, numDocuments int, options ...Option) ([][]schema.Document, error)
	SimilaritySearchWithScores(ctx context.Context, query string, numDocuments int, options ...Option) ([]DocumentWithScore, error)
	ListCollections(ctx context.Context) ([]string, error)
	DeleteCollection(ctx context.Context, collectionName string) error
	DeleteDocumentsByFilter(ctx context.Context, filters map[string]any, options ...Option) error
}