amax_marginal_relevance_search() — langchain Function Reference
Architecture documentation for the amax_marginal_relevance_search() function in in_memory.py from the langchain codebase.
Entity Profile
Dependency Diagram
graph TD 25444c39_d615_fb5a_3196_9dc255efdff7["amax_marginal_relevance_search()"] 6e491709_d60f_689d_8a1a_c760b54fd120["InMemoryVectorStore"] 25444c39_d615_fb5a_3196_9dc255efdff7 -->|defined in| 6e491709_d60f_689d_8a1a_c760b54fd120 46149650_f391_363a_8f1e_77ac7a08dff4["max_marginal_relevance_search_by_vector()"] 25444c39_d615_fb5a_3196_9dc255efdff7 -->|calls| 46149650_f391_363a_8f1e_77ac7a08dff4 style 25444c39_d615_fb5a_3196_9dc255efdff7 fill:#6366f1,stroke:#818cf8,color:#fff
Relationship Graph
Source Code
libs/core/langchain_core/vectorstores/in_memory.py lines 469–484
async def amax_marginal_relevance_search(
self,
query: str,
k: int = 4,
fetch_k: int = 20,
lambda_mult: float = 0.5,
**kwargs: Any,
) -> list[Document]:
embedding_vector = await self.embedding.aembed_query(query)
return self.max_marginal_relevance_search_by_vector(
embedding_vector,
k,
fetch_k,
lambda_mult=lambda_mult,
**kwargs,
)Domain
Subdomains
Source
Frequently Asked Questions
What does amax_marginal_relevance_search() do?
amax_marginal_relevance_search() is a function in the langchain codebase, defined in libs/core/langchain_core/vectorstores/in_memory.py.
Where is amax_marginal_relevance_search() defined?
amax_marginal_relevance_search() is defined in libs/core/langchain_core/vectorstores/in_memory.py at line 469.
What does amax_marginal_relevance_search() call?
amax_marginal_relevance_search() calls 1 function(s): max_marginal_relevance_search_by_vector.
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