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RAGAS

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reference-free evaluation for RAG and QA pipelines.

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READMEView on GitHub ↗

Factuality, Hallucination, Calibration

Category

AI & ML

Also in 2 other lists

Awesome LLM Awesome Production ML

More from Factuality, Hallucination, Calibration

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CCURE: Think Through Uncertainty(2026) - trains models to reason about claim-level uncertainty before generating; large gains on biography factuality and FactBench AUROC.

FFActScorefine-grained factual precision in long-form generation.

FFRANQ(2025) - faithfulness-aware uncertainty quantification for RAG fact-checking; formally separates faithfulness from factuality.

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LLongFact / SAFE(2024) - long-form factuality benchmark and search-augmented evaluator.

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