_cosine_relevance_score_fn() — langchain Function Reference
Architecture documentation for the _cosine_relevance_score_fn() function in vectorstores.py from the langchain codebase.
Entity Profile
Dependency Diagram
graph TD 514dd4ec_9efc_d335_325f_bbb1d4ba63ec["_cosine_relevance_score_fn()"] 2d095452_70a7_4606_a1b1_4650d16b5343["Qdrant"] 514dd4ec_9efc_d335_325f_bbb1d4ba63ec -->|defined in| 2d095452_70a7_4606_a1b1_4650d16b5343 style 514dd4ec_9efc_d335_325f_bbb1d4ba63ec fill:#6366f1,stroke:#818cf8,color:#fff
Relationship Graph
Source Code
libs/partners/qdrant/langchain_qdrant/vectorstores.py lines 1946–1948
def _cosine_relevance_score_fn(distance: float) -> float:
"""Normalize the distance to a score on a scale [0, 1]."""
return (distance + 1.0) / 2.0
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Subdomains
Source
Frequently Asked Questions
What does _cosine_relevance_score_fn() do?
_cosine_relevance_score_fn() is a function in the langchain codebase, defined in libs/partners/qdrant/langchain_qdrant/vectorstores.py.
Where is _cosine_relevance_score_fn() defined?
_cosine_relevance_score_fn() is defined in libs/partners/qdrant/langchain_qdrant/vectorstores.py at line 1946.
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