Method as_retriever

document_qa/langchain.py:80–87

Create a retriever supporting ``similarity_with_embeddings``. Accepts the same keyword arguments as the base ``as_retriever``.

(self, **kwargs: Any)

    """

    def as_retriever(self, **kwargs: Any) -> AdvancedVectorStoreRetriever:
        """Create a retriever supporting ``similarity_with_embeddings``.

        Accepts the same keyword arguments as the base ``as_retriever``.
        """
        tags = kwargs.pop("tags", None) or []
        tags.extend(self._get_retriever_tags())
        return AdvancedVectorStoreRetriever(vectorstore=self, **kwargs, tags=tags)


class ChromaAdvancedRetrieval(Chroma, AdvancedVectorStore):