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This library provides a comprehensive suite of metrics to evaluate the performance of Retrieval-Augmented Generation (RAG) systems. RAG systems, which combine information retrieval with text generation, present unique evaluation challenges beyond those found in standard language
pip install comprehensive-rag-evaluation-metrics
PyPI declares 9 unique dependency rules for this release. Environment markers are shown when supplied by the project.
Comprehensive-RAG-Evaluation-Metrics publishes 1 wheel and 1 source archive for version 0.12.0. Wheel platform tags: any.
No version-specific Python classifiers are declared.
PyPI lists 10 releases with files. The first dated release is ; 10 releases fall within the 365 days preceding the latest dated release. The current release files were uploaded on . The preceding dated release was .