embed_query() — langchain Function Reference

Architecture documentation for the embed_query() function in huggingface_endpoint.py from the langchain codebase.

Function python LangChainCore ApiManagement calls 1

Entity Profile

LangChainCore→ ApiManagement→ embed_query() — langchain Function Reference

Dependency Diagram

graph TD
  4ef55f39_d22f_e607_6c86_d27f1631763f["embed_query()"]
  3e578245_e691_a97e_a094_2b8fa981436a["HuggingFaceEndpointEmbeddings"]
  4ef55f39_d22f_e607_6c86_d27f1631763f -->|defined in| 3e578245_e691_a97e_a094_2b8fa981436a
  bcc591c5_13d4_9230_07fe_b338b9fa9f55["embed_documents()"]
  4ef55f39_d22f_e607_6c86_d27f1631763f -->|calls| bcc591c5_13d4_9230_07fe_b338b9fa9f55
  style 4ef55f39_d22f_e607_6c86_d27f1631763f fill:#6366f1,stroke:#818cf8,color:#fff

Relationship Graph

Source Code

libs/partners/huggingface/langchain_huggingface/embeddings/huggingface_endpoint.py lines 150–160

    def embed_query(self, text: str) -> list[float]:
        """Call out to HuggingFaceHub's embedding endpoint for embedding query text.

        Args:
            text: The text to embed.

        Returns:
            Embeddings for the text.

        """
        return self.embed_documents([text])[0]