similarity_search() — langchain Function Reference
Architecture documentation for the similarity_search() function in test_parent_document.py from the langchain codebase.
Entity Profile
Dependency Diagram
graph TD 8d811a0a_43fe_23ed_d2aa_54bb19acd1bb["similarity_search()"] 59f9846e_cf75_c281_0671_921ba43186ee["InMemoryVectorstoreWithSearch"] 8d811a0a_43fe_23ed_d2aa_54bb19acd1bb -->|defined in| 59f9846e_cf75_c281_0671_921ba43186ee style 8d811a0a_43fe_23ed_d2aa_54bb19acd1bb fill:#6366f1,stroke:#818cf8,color:#fff
Relationship Graph
Source Code
libs/langchain/tests/unit_tests/retrievers/test_parent_document.py lines 15–24
def similarity_search(
self,
query: str,
k: int = 4,
**kwargs: Any,
) -> list[Document]:
res = self.store.get(query)
if res is None:
return []
return [res]
Domain
Subdomains
Source
Frequently Asked Questions
What does similarity_search() do?
similarity_search() is a function in the langchain codebase, defined in libs/langchain/tests/unit_tests/retrievers/test_parent_document.py.
Where is similarity_search() defined?
similarity_search() is defined in libs/langchain/tests/unit_tests/retrievers/test_parent_document.py at line 15.
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