Query the VectorStore and retrieve the answer along with sources.
query_with_sources(
self,
question: str,
llm: BaseLanguageModel | None = None,
retriever_kwargs: dict[str, Any] | None = None,
**kwargs: Any = {}
) -> dict| Name | Type | Description |
|---|---|---|
question* | str | The question or prompt to query. |
llm | BaseLanguageModel | None | Default: NoneThe language model to use. Must not be |
retriever_kwargs | dict[str, Any] | None | Default: NoneOptional keyword arguments for the retriever. |
**kwargs | Any | Default: {}Additional keyword arguments forwarded to the chain. |