similarity_search() — langchain Function Reference

Architecture documentation for the similarity_search() function in test_indexing.py from the langchain codebase.

Function python LangChainCore Runnables

Entity Profile

LangChainCore→ Runnables→ similarity_search() — langchain Function Reference

Dependency Diagram

graph TD
  d01ca1cb_6ef0_b0a9_a7dc_7ee67dbf050c["similarity_search()"]
  4269aa92_b131_014d_4134_d396f7de1f62["InMemoryVectorStore"]
  d01ca1cb_6ef0_b0a9_a7dc_7ee67dbf050c -->|defined in| 4269aa92_b131_014d_4134_d396f7de1f62
  style d01ca1cb_6ef0_b0a9_a7dc_7ee67dbf050c fill:#6366f1,stroke:#818cf8,color:#fff

Relationship Graph

Source Code

libs/langchain/tests/unit_tests/indexes/test_indexing.py lines 130–137

    def similarity_search(
        self,
        query: str,
        k: int = 4,
        **kwargs: Any,
    ) -> list[Document]:
        """Find the most similar documents to the given query."""
        raise NotImplementedError