@abstractmethod
    def _get_relevant_documents(
        self, query: str, *, run_manager: CallbackManagerForRetrieverRun
    ) -> List[Document]:
        """Get documents relevant to a query.
        Args:
            query: String to find relevant documents for
            run_manager: The callbacks handler to use
        Returns:
            List of relevant documents
        """
    async def _aget_relevant_documents(
        self, query: str, *, run_manager: AsyncCallbackManagerForRetrieverRun
    ) -> List[Document]:
        """Asynchronously get documents relevant to a query.
        Args:
            query: String to find relevant documents for
            run_manager: The callbacks handler to use
        Returns:
            List of relevant documents
        """
        raise NotImplementedError()
[docs]    def get_relevant_documents(
        self,
        query: str,
        *,
        callbacks: Callbacks = None,
        tags: Optional[List[str]] = None,
        metadata: Optional[Dict[str, Any]] = None,
        **kwargs: Any,
    ) -> List[Document]:
        """Retrieve documents relevant to a query.
        Args:
            query: string to find relevant documents for
            callbacks: Callback manager or list of callbacks
            tags: Optional list of tags associated with the retriever. Defaults to None
                These tags will be associated with each call to this retriever,
                and passed as arguments to the handlers defined in `callbacks`.
            metadata: Optional metadata associated with the retriever. Defaults to None
                This metadata will be associated with each call to this retriever,
                and passed as arguments to the handlers defined in `callbacks`.
        Returns:
            List of relevant documents
        """
        from langchain.callbacks.manager import CallbackManager