sparse_embeddings() — langchain Function Reference

Architecture documentation for the sparse_embeddings() function in qdrant.py from the langchain codebase.

Function python LangChainCore ApiManagement

Entity Profile

LangChainCore→ ApiManagement→ sparse_embeddings() — langchain Function Reference

Dependency Diagram

graph TD
  a8b37714_6c50_3fec_1243_cba259934613["sparse_embeddings()"]
  671b47a0_cdd3_a89d_e90f_0631a4bd67d3["QdrantVectorStore"]
  a8b37714_6c50_3fec_1243_cba259934613 -->|defined in| 671b47a0_cdd3_a89d_e90f_0631a4bd67d3
  style a8b37714_6c50_3fec_1243_cba259934613 fill:#6366f1,stroke:#818cf8,color:#fff

Relationship Graph

Source Code

libs/partners/qdrant/langchain_qdrant/qdrant.py lines 320–336

    def sparse_embeddings(self) -> SparseEmbeddings:
        """Get the sparse embeddings instance that is being used.

        Raises:
            ValueError: If sparse embeddings are `None`.

        Returns:
            SparseEmbeddings: An instance of `SparseEmbeddings`.

        """
        if self._sparse_embeddings is None:
            msg = (
                "Sparse embeddings are `None`. "
                "Please set using the `sparse_embedding` parameter."
            )
            raise ValueError(msg)
        return self._sparse_embeddings