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retrieval-evaluation

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CI gate for RAG retrieval quality. Declares retrievers (TF-IDF, FAISS dense, BM25, hybrid RRF) in config, evaluates recall/MRR/nDCG with bootstrap CIs against a committed labeled dataset, and fails the build on statistically significant drops vs a git-versioned baseline. Caught a 7-point recall regression; 97% test coverage.

  • Updated Aug 4, 2026
  • Python

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