ragchain

Documentation

Index

• func RefreshDoc(db localvectordb.DB, embedder embeddings.Embedder, name string, ...) (bool, error)
• type DocRAGChain
  • func NewDocRAGChain(llm llms.LanguageModel, db localvectordb.DB, embedder embeddings.Embedder, ...) (*DocRAGChain, error)
• type RAGChain
  • func NewQAChain(llm llms.LanguageModel, store vectorstores.VectorStore, scoreTopN int, ...) *RAGChain
  • func (q *RAGChain) Answer(ctx context.Context, question string) (string, error)

Functions

func RefreshDoc

func RefreshDoc(db localvectordb.DB, embedder embeddings.Embedder, name string, docs []schema.Document) (bool, error)

Types

type DocRAGChain

type DocRAGChain struct {
	*RAGChain
}

func NewDocRAGChain

func NewDocRAGChain(llm llms.LanguageModel, db localvectordb.DB, embedder embeddings.Embedder, name string, scoreTopN int, scoreThreshold float64) (*DocRAGChain, error)

type RAGChain

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

func NewQAChain

func NewQAChain(llm llms.LanguageModel, store vectorstores.VectorStore, scoreTopN int, scoreThreshold float64) *RAGChain

func (*RAGChain) Answer

func (q *RAGChain) Answer(ctx context.Context, question string) (string, error)