page_content = self._download_from_gcs(f"documents/{doc.id}")
            results.append(Document(page_content=page_content))
        logger.debug("Downloaded documents for query.")
        return results
    def _get_index_id(self) -> str:
        """Gets the correct index id for the endpoint.
        Returns:
            The index id if found (which should be found) or throws
            ValueError otherwise.
        """
        for index in self.endpoint.deployed_indexes:
            if index.index == self.index.resource_name:
                return index.id
        raise ValueError(
            f"No index with id {self.index.resource_name} "
            f"deployed on endpoint "
            f"{self.endpoint.display_name}."
        )
    def _download_from_gcs(self, gcs_location: str) -> str:
        """Downloads from GCS in text format.
        Args:
            gcs_location: The location where the file is located.
        Returns:
            The string contents of the file.
        """
        bucket = self.gcs_client.get_bucket(self.gcs_bucket_name)
        blob = bucket.blob(gcs_location)
        return blob.download_as_string()
[docs]    @classmethod
    def from_texts(
        cls: Type["MatchingEngine"],
        texts: List[str],
        embedding: Embeddings,
        metadatas: Optional[List[dict]] = None,
        **kwargs: Any,
    ) -> "MatchingEngine":
        """Use from components instead."""
        raise NotImplementedError(
            "This method is not implemented. Instead, you should initialize the class"
            " with `MatchingEngine.from_components(...)` and then call "
            "`add_texts`"
        )
[docs]    @classmethod
    def from_components(
rtdocs_stable/api.python.langchain.com/en/stable/_modules/langchain/vectorstores/matching_engine.html