embed_query() — langchain Function Reference

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

Function python LangChainCore MessageInterface

Entity Profile

LangChainCore→ MessageInterface→ embed_query() — langchain Function Reference

Dependency Diagram

graph TD
  4e6a2169_e6c2_3147_a2ee_ad6ed4131649["embed_query()"]
  0a59d8d5_2457_e267_a195_a6431d0e41e9["FastEmbedSparse"]
  4e6a2169_e6c2_3147_a2ee_ad6ed4131649 -->|defined in| 0a59d8d5_2457_e267_a195_a6431d0e41e9
  style 4e6a2169_e6c2_3147_a2ee_ad6ed4131649 fill:#6366f1,stroke:#818cf8,color:#fff

Relationship Graph

Source Code

libs/partners/qdrant/langchain_qdrant/fastembed_sparse.py lines 79–84

    def embed_query(self, text: str) -> SparseVector:
        result = next(self._model.query_embed(text))

        return SparseVector(
            indices=result.indices.tolist(), values=result.values.tolist()
        )