asimilarity_search() — langchain Function Reference

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

Function python DataProcessing VectorStores calls 1

Entity Profile

DataProcessing→ VectorStores→ asimilarity_search() — langchain Function Reference

Dependency Diagram

graph TD
  fe6f7064_efb9_6d58_7f4d_5704ca875b42["asimilarity_search()"]
  6e491709_d60f_689d_8a1a_c760b54fd120["InMemoryVectorStore"]
  fe6f7064_efb9_6d58_7f4d_5704ca875b42 -->|defined in| 6e491709_d60f_689d_8a1a_c760b54fd120
  e59dcf6a_fb2f_6e50_714b_45aedbb12988["asimilarity_search_with_score()"]
  fe6f7064_efb9_6d58_7f4d_5704ca875b42 -->|calls| e59dcf6a_fb2f_6e50_714b_45aedbb12988
  style fe6f7064_efb9_6d58_7f4d_5704ca875b42 fill:#6366f1,stroke:#818cf8,color:#fff

Relationship Graph

Source Code

libs/core/langchain_core/vectorstores/in_memory.py lines 410–416

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