embed_documents() — langchain Function Reference

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

Function python LangChainCore Runnables

Entity Profile

LangChainCore→ Runnables→ embed_documents() — langchain Function Reference

Dependency Diagram

graph TD
  7b3d7bb0_090c_f8b7_297b_d4b900f25c98["embed_documents()"]
  e1697692_0afb_1adc_ce1e_980922dcd4cd["FakeEmbeddings"]
  7b3d7bb0_090c_f8b7_297b_d4b900f25c98 -->|defined in| e1697692_0afb_1adc_ce1e_980922dcd4cd
  style 7b3d7bb0_090c_f8b7_297b_d4b900f25c98 fill:#6366f1,stroke:#818cf8,color:#fff

Relationship Graph

Source Code

libs/langchain/tests/unit_tests/chains/test_hyde.py lines 23–25

    def embed_documents(self, texts: list[str]) -> list[list[float]]:
        """Return random floats."""
        return [list(np.random.default_rng().uniform(0, 1, 10)) for _ in range(10)]