Home / Function/ similarity_search() — langchain Function Reference

similarity_search() — langchain Function Reference

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

Entity Profile

Dependency Diagram

graph TD
  8d811a0a_43fe_23ed_d2aa_54bb19acd1bb["similarity_search()"]
  59f9846e_cf75_c281_0671_921ba43186ee["InMemoryVectorstoreWithSearch"]
  8d811a0a_43fe_23ed_d2aa_54bb19acd1bb -->|defined in| 59f9846e_cf75_c281_0671_921ba43186ee
  style 8d811a0a_43fe_23ed_d2aa_54bb19acd1bb fill:#6366f1,stroke:#818cf8,color:#fff

Relationship Graph

Source Code

libs/langchain/tests/unit_tests/retrievers/test_parent_document.py lines 15–24

    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]

Domain

Subdomains

Frequently Asked Questions

What does similarity_search() do?
similarity_search() is a function in the langchain codebase, defined in libs/langchain/tests/unit_tests/retrievers/test_parent_document.py.
Where is similarity_search() defined?
similarity_search() is defined in libs/langchain/tests/unit_tests/retrievers/test_parent_document.py at line 15.

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