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similarity_search() — langchain Function Reference

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

Function python LangChainCore Runnables

Entity Profile

Dependency Diagram

graph TD
  ce1796f3_6f99_9517_3ede_8fba78f701dc["similarity_search()"]
  7e77bbc5_6b03_10c7_3db9_fd34f9dd5b18["MockVectorStore"]
  ce1796f3_6f99_9517_3ede_8fba78f701dc -->|defined in| 7e77bbc5_6b03_10c7_3db9_fd34f9dd5b18
  style ce1796f3_6f99_9517_3ede_8fba78f701dc fill:#6366f1,stroke:#818cf8,color:#fff

Relationship Graph

Source Code

libs/langchain/tests/unit_tests/retrievers/test_time_weighted_retriever.py lines 45–51

    def similarity_search(
        self,
        query: str,
        k: int = 4,
        **kwargs: Any,
    ) -> list[Document]:
        return []

Domain

Subdomains

Defined In

Source

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_time_weighted_retriever.py.
Where is similarity_search() defined?
similarity_search() is defined in libs/langchain/tests/unit_tests/retrievers/test_time_weighted_retriever.py at line 45.

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