Testing Grounding Checkers: RAG Systems Struggle with Small Hallucinations
KhuyenTran16 · x · 2026-09-01
RAG systems can hallucinate even with correct retrieval. Grounding checkers like LettuceDetect aim to verify if answers are supported by context. This study tests their effectiveness on "harmless-looking" errors:
Methodology:
- Tested on 200 RAGTruth QA rows.
- Created controlled error sets: flipping negations (can/cannot) and changing supported numbers.
Findings:
- High benchmark scores don't guarantee catching critical small errors in real-world use cases.
- The article walks through the code and an honest breakdown of successes and failures.
The goal is to move beyond generic benchmarks and validate specific use cases like number accuracy.
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