similarity_search() — langchain Function Reference

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

Function python LangChainCore MessageInterface

Entity Profile

LangChainCore→ MessageInterface→ similarity_search() — langchain Function Reference

Dependency Diagram

graph TD
  8338cd8b_80db_db0a_805f_575dd8de2cf2["similarity_search()"]
  8d3a5c80_ca3c_3791_b15b_403681cc6589["InMemoryVectorstoreWithSearch"]
  8338cd8b_80db_db0a_805f_575dd8de2cf2 -->|defined in| 8d3a5c80_ca3c_3791_b15b_403681cc6589
  style 8338cd8b_80db_db0a_805f_575dd8de2cf2 fill:#6366f1,stroke:#818cf8,color:#fff

Relationship Graph

Source Code

libs/langchain/tests/unit_tests/retrievers/test_multi_vector.py lines 21–30

    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]