async def _aget_query_embeddings(self, queries: List[str]) -> List[List[float]]:
        """
        Asynchronously embed documents using a GigaChat embeddings model.

        Args:
            queries: The list of documents to embed.

        Returns:
            List of embeddings, one for each document.

        """
        embeddings = (await self._client.aembeddings(queries)).data
        return [embeds_obj.embedding for embeds_obj in embeddings]

        Asynchronously embed documents using a GigaChat embeddings model.

        Args:
            queries: The list of documents to embed.

        Returns:
            List of embeddings, one for each document.

        
llama-index-integrations/embeddings/llama-index-embeddings-gigachat/llama_index/embeddings/gigachat/base.py