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

        Args:
            query: The document to embed.

        Returns:
            Embeddings for the document.

        """
        return (await self._client.aembeddings(query)).data[0].embedding

        Asynchronously embed a query using GigaChat embeddings model.

        Args:
            query: The document to embed.

        Returns:
            Embeddings for the document.

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