embed_documents() — langchain Function Reference

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

Function python LangChainCore Runnables

Entity Profile

LangChainCore→ Runnables→ embed_documents() — langchain Function Reference

Dependency Diagram

graph TD
  1d3e82ef_f0fe_231c_ca78_f84ebc04c182["embed_documents()"]
  0a59d8d5_2457_e267_a195_a6431d0e41e9["FastEmbedSparse"]
  1d3e82ef_f0fe_231c_ca78_f84ebc04c182 -->|defined in| 0a59d8d5_2457_e267_a195_a6431d0e41e9
  style 1d3e82ef_f0fe_231c_ca78_f84ebc04c182 fill:#6366f1,stroke:#818cf8,color:#fff

Relationship Graph

Source Code

libs/partners/qdrant/langchain_qdrant/fastembed_sparse.py lines 70–77

    def embed_documents(self, texts: list[str]) -> list[SparseVector]:
        results = self._model.embed(
            texts, batch_size=self._batch_size, parallel=self._parallel
        )
        return [
            SparseVector(indices=result.indices.tolist(), values=result.values.tolist())
            for result in results
        ]