similarity_search_with_score() — langchain Function Reference

Architecture documentation for the similarity_search_with_score() function in test_multi_vector.py from the langchain codebase.

Function python LangChainCore ApiManagement

Entity Profile

LangChainCore→ ApiManagement→ similarity_search_with_score() — langchain Function Reference

Dependency Diagram

graph TD
  5d810b0d_19ea_076f_3435_e71a46d0bc07["similarity_search_with_score()"]
  8d3a5c80_ca3c_3791_b15b_403681cc6589["InMemoryVectorstoreWithSearch"]
  5d810b0d_19ea_076f_3435_e71a46d0bc07 -->|defined in| 8d3a5c80_ca3c_3791_b15b_403681cc6589
  style 5d810b0d_19ea_076f_3435_e71a46d0bc07 fill:#6366f1,stroke:#818cf8,color:#fff

Relationship Graph

Source Code

libs/langchain/tests/unit_tests/retrievers/test_multi_vector.py lines 33–42

    def similarity_search_with_score(
        self,
        query: str,
        k: int = 4,
        **kwargs: Any,
    ) -> list[tuple[Document, float]]:
        res = self.store.get(query)
        if res is None:
            return []
        return [(res, 0.8)]