similarity_search() — langchain Function Reference

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

Function python LangChainCore LanguageModelBase

Entity Profile

LangChainCore→ LanguageModelBase→ similarity_search() — langchain Function Reference

Dependency Diagram

graph TD
  bfc3db68_2a96_682f_d606_0fcf9e00f190["similarity_search()"]
  8a79270f_42fb_7a57_0a40_e13f5b02878f["InMemoryVectorstoreWithSearch"]
  bfc3db68_2a96_682f_d606_0fcf9e00f190 -->|defined in| 8a79270f_42fb_7a57_0a40_e13f5b02878f
  style bfc3db68_2a96_682f_d606_0fcf9e00f190 fill:#6366f1,stroke:#818cf8,color:#fff

Relationship Graph

Source Code

libs/langchain/tests/unit_tests/retrievers/self_query/test_base.py lines 66–75

    def similarity_search(
        self,
        query: str,
        k: int = 4,
        **kwargs: Any,
    ) -> list[Document]:
        res = self.store.get(query)
        if res is None:
            return []
        return [res]