aembed_documents() — langchain Function Reference

Source Code

libs/partners/huggingface/langchain_huggingface/embeddings/huggingface_endpoint.py lines 132–148

    async def aembed_documents(self, texts: list[str]) -> list[list[float]]:
        """Async Call to HuggingFaceHub's embedding endpoint for embedding search docs.

        Args:
            texts: The list of texts to embed.

        Returns:
            List of embeddings, one for each text.

        """
        # replace newlines, which can negatively affect performance.
        texts = [text.replace("\n", " ") for text in texts]
        _model_kwargs = self.model_kwargs or {}
        responses = await self.async_client.feature_extraction(
            text=texts, **_model_kwargs
        )
        return responses.tolist()