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_asimilarity_search_with_relevance_scores() — langchain Function Reference

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

Function python LangChainCore Runnables calls 1

Entity Profile

Dependency Diagram

graph TD
  0ef3a3ec_e971_5340_e773_d7478d9bfd57["_asimilarity_search_with_relevance_scores()"]
  7e77bbc5_6b03_10c7_3db9_fd34f9dd5b18["MockVectorStore"]
  0ef3a3ec_e971_5340_e773_d7478d9bfd57 -->|defined in| 7e77bbc5_6b03_10c7_3db9_fd34f9dd5b18
  ebf698ca_7e85_ba04_a601_be0149d84574["_similarity_search_with_relevance_scores()"]
  0ef3a3ec_e971_5340_e773_d7478d9bfd57 -->|calls| ebf698ca_7e85_ba04_a601_be0149d84574
  style 0ef3a3ec_e971_5340_e773_d7478d9bfd57 fill:#6366f1,stroke:#818cf8,color:#fff

Relationship Graph

Source Code

libs/langchain/tests/unit_tests/retrievers/test_time_weighted_retriever.py lines 73–79

    async def _asimilarity_search_with_relevance_scores(
        self,
        query: str,
        k: int = 4,
        **kwargs: Any,
    ) -> list[tuple[Document, float]]:
        return self._similarity_search_with_relevance_scores(query, k, **kwargs)

Domain

Subdomains

Defined In

Calls

Source

Frequently Asked Questions

What does _asimilarity_search_with_relevance_scores() do?
_asimilarity_search_with_relevance_scores() is a function in the langchain codebase, defined in libs/langchain/tests/unit_tests/retrievers/test_time_weighted_retriever.py.
Where is _asimilarity_search_with_relevance_scores() defined?
_asimilarity_search_with_relevance_scores() is defined in libs/langchain/tests/unit_tests/retrievers/test_time_weighted_retriever.py at line 73.
What does _asimilarity_search_with_relevance_scores() call?
_asimilarity_search_with_relevance_scores() calls 1 function(s): _similarity_search_with_relevance_scores.

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