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similarity_search_by_vector() — langchain Function Reference

Architecture documentation for the similarity_search_by_vector() function in qdrant.py from the langchain codebase.

Function python LangChainCore Runnables calls 1

Entity Profile

Dependency Diagram

graph TD
  22b00de6_c2f6_1560_4a0f_db959470c356["similarity_search_by_vector()"]
  671b47a0_cdd3_a89d_e90f_0631a4bd67d3["QdrantVectorStore"]
  22b00de6_c2f6_1560_4a0f_db959470c356 -->|defined in| 671b47a0_cdd3_a89d_e90f_0631a4bd67d3
  3b9e0613_eecd_e688_0717_98be6124f6d3["similarity_search_with_score_by_vector()"]
  22b00de6_c2f6_1560_4a0f_db959470c356 -->|calls| 3b9e0613_eecd_e688_0717_98be6124f6d3
  style 22b00de6_c2f6_1560_4a0f_db959470c356 fill:#6366f1,stroke:#818cf8,color:#fff

Relationship Graph

Source Code

libs/partners/qdrant/langchain_qdrant/qdrant.py lines 699–726

    def similarity_search_by_vector(
        self,
        embedding: list[float],
        k: int = 4,
        filter: models.Filter | None = None,  # noqa: A002
        search_params: models.SearchParams | None = None,
        offset: int = 0,
        score_threshold: float | None = None,
        consistency: models.ReadConsistency | None = None,
        **kwargs: Any,
    ) -> list[Document]:
        """Return docs most similar to embedding vector.

        Returns:
            List of `Document` objects most similar to the query.

        """
        results = self.similarity_search_with_score_by_vector(
            embedding,
            k,
            filter=filter,
            search_params=search_params,
            offset=offset,
            score_threshold=score_threshold,
            consistency=consistency,
            **kwargs,
        )
        return list(map(itemgetter(0), results))

Domain

Subdomains

Defined In

Calls

Source

Frequently Asked Questions

What does similarity_search_by_vector() do?
similarity_search_by_vector() is a function in the langchain codebase, defined in libs/partners/qdrant/langchain_qdrant/qdrant.py.
Where is similarity_search_by_vector() defined?
similarity_search_by_vector() is defined in libs/partners/qdrant/langchain_qdrant/qdrant.py at line 699.
What does similarity_search_by_vector() call?
similarity_search_by_vector() calls 1 function(s): similarity_search_with_score_by_vector.

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