aembed_query() — langchain Function Reference

Architecture documentation for the aembed_query() function in base.py from the langchain codebase.

Function python LangChainCore LanguageModelBase calls 1

Entity Profile

LangChainCore→ LanguageModelBase→ aembed_query() — langchain Function Reference

Dependency Diagram

graph TD
  ac620fcf_32ca_85e5_d295_7f3998895c75["aembed_query()"]
  2f237d29_e276_c4ef_3a56_7139ce49b50e["OpenAIEmbeddings"]
  ac620fcf_32ca_85e5_d295_7f3998895c75 -->|defined in| 2f237d29_e276_c4ef_3a56_7139ce49b50e
  61442dce_e074_a559_4f56_e5a72f5d3c6c["aembed_documents()"]
  ac620fcf_32ca_85e5_d295_7f3998895c75 -->|calls| 61442dce_e074_a559_4f56_e5a72f5d3c6c
  style ac620fcf_32ca_85e5_d295_7f3998895c75 fill:#6366f1,stroke:#818cf8,color:#fff

Relationship Graph

Source Code

libs/partners/openai/langchain_openai/embeddings/base.py lines 761–772

    async def aembed_query(self, text: str, **kwargs: Any) -> list[float]:
        """Call out to OpenAI's embedding endpoint async for embedding query text.

        Args:
            text: The text to embed.
            kwargs: Additional keyword arguments to pass to the embedding API.

        Returns:
            Embedding for the text.
        """
        embeddings = await self.aembed_documents([text], **kwargs)
        return embeddings[0]