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similarity_search() — langchain Function Reference

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

Entity Profile

Dependency Diagram

graph TD
  ff27a1da_e7fa_6ae0_06fb_ea4e442a67fa["similarity_search()"]
  2b1e88c6_438d_574a_4554_475753fefd62["DummyVectorStore"]
  ff27a1da_e7fa_6ae0_06fb_ea4e442a67fa -->|defined in| 2b1e88c6_438d_574a_4554_475753fefd62
  style ff27a1da_e7fa_6ae0_06fb_ea4e442a67fa fill:#6366f1,stroke:#818cf8,color:#fff

Relationship Graph

Source Code

libs/core/tests/unit_tests/example_selectors/test_similarity.py lines 39–46

    def similarity_search(
        self, query: str, k: int = 4, **kwargs: Any
    ) -> list[Document]:
        return [
            Document(
                page_content=query, metadata={"query": query, "k": k, "other": "other"}
            )
        ] * k

Domain

Subdomains

Frequently Asked Questions

What does similarity_search() do?
similarity_search() is a function in the langchain codebase, defined in libs/core/tests/unit_tests/example_selectors/test_similarity.py.
Where is similarity_search() defined?
similarity_search() is defined in libs/core/tests/unit_tests/example_selectors/test_similarity.py at line 39.

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