"""Score threshold for similarity_limit search."""
    class Config:
        """Configuration for this pydantic object."""
        arbitrary_types_allowed = True
    @root_validator()
    def validate_search_type(cls, values: Dict) -> Dict:
        """Validate search type."""
        if "search_type" in values:
            search_type = values["search_type"]
            if search_type not in ("similarity", "similarity_limit"):
                raise ValueError(f"search_type of {search_type} not allowed.")
        return values
    def _get_relevant_documents(
        self, query: str, *, run_manager: CallbackManagerForRetrieverRun
    ) -> List[Document]:
        if self.search_type == "similarity":
            docs = self.vectorstore.similarity_search(query, k=self.k)
        elif self.search_type == "similarity_limit":
            docs = self.vectorstore.similarity_search_limit_score(
                query, k=self.k, score_threshold=self.score_threshold
            )
        else:
            raise ValueError(f"search_type of {self.search_type} not allowed.")
        return docs
    async def _aget_relevant_documents(
        self, query: str, *, run_manager: AsyncCallbackManagerForRetrieverRun
    ) -> List[Document]:
        raise NotImplementedError("RedisVectorStoreRetriever does not support async")
[docs]    def add_documents(self, documents: List[Document], **kwargs: Any) -> List[str]:
        """Add documents to vectorstore."""
        return self.vectorstore.add_documents(documents, **kwargs)
[docs]    async def aadd_documents(
        self, documents: List[Document], **kwargs: Any
    ) -> List[str]:
        """Add documents to vectorstore."""