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similarity_search() — langchain Function Reference

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

Function python DataProcessing VectorStores calls 1

Entity Profile

Dependency Diagram

graph TD
  07698de6_b0eb_f3e8_73ec_849e4831d737["similarity_search()"]
  6e491709_d60f_689d_8a1a_c760b54fd120["InMemoryVectorStore"]
  07698de6_b0eb_f3e8_73ec_849e4831d737 -->|defined in| 6e491709_d60f_689d_8a1a_c760b54fd120
  0ce5a306_acdd_dcdf_54b7_518eb6c91dee["similarity_search_with_score()"]
  07698de6_b0eb_f3e8_73ec_849e4831d737 -->|calls| 0ce5a306_acdd_dcdf_54b7_518eb6c91dee
  style 07698de6_b0eb_f3e8_73ec_849e4831d737 fill:#6366f1,stroke:#818cf8,color:#fff

Relationship Graph

Source Code

libs/core/langchain_core/vectorstores/in_memory.py lines 404–407

    def similarity_search(
        self, query: str, k: int = 4, **kwargs: Any
    ) -> list[Document]:
        return [doc for doc, _ in self.similarity_search_with_score(query, k, **kwargs)]

Domain

Subdomains

Defined In

Calls

Source

Frequently Asked Questions

What does similarity_search() do?
similarity_search() is a function in the langchain codebase, defined in libs/core/langchain_core/vectorstores/in_memory.py.
Where is similarity_search() defined?
similarity_search() is defined in libs/core/langchain_core/vectorstores/in_memory.py at line 404.
What does similarity_search() call?
similarity_search() calls 1 function(s): similarity_search_with_score.

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