LLM prompt benchmark on 150 RAGBench samples × 5 strategies. RAG: 89.5% faithfulness, 10.5% ungrounded vs zero-shot: 31.3%, 68.7%. Qwen3 + Gemini judge.
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Updated
Jul 22, 2026 - Python
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ragbench
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