_max_inner_product_relevance_score_fn() — langchain Function Reference
Architecture documentation for the _max_inner_product_relevance_score_fn() function in base.py from the langchain codebase.
Entity Profile
Dependency Diagram
graph TD 854a3ced_1bf0_79b1_0922_00ada25aa626["_max_inner_product_relevance_score_fn()"] 6c336ac6_f55c_1ad7_6db3_73dbd71fb625["VectorStore"] 854a3ced_1bf0_79b1_0922_00ada25aa626 -->|defined in| 6c336ac6_f55c_1ad7_6db3_73dbd71fb625 style 854a3ced_1bf0_79b1_0922_00ada25aa626 fill:#6366f1,stroke:#818cf8,color:#fff
Relationship Graph
Source Code
libs/core/langchain_core/vectorstores/base.py lines 396–401
def _max_inner_product_relevance_score_fn(distance: float) -> float:
"""Normalize the distance to a score on a scale [0, 1]."""
if distance > 0:
return 1.0 - distance
return -1.0 * distance
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Subdomains
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Frequently Asked Questions
What does _max_inner_product_relevance_score_fn() do?
_max_inner_product_relevance_score_fn() is a function in the langchain codebase, defined in libs/core/langchain_core/vectorstores/base.py.
Where is _max_inner_product_relevance_score_fn() defined?
_max_inner_product_relevance_score_fn() is defined in libs/core/langchain_core/vectorstores/base.py at line 396.
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