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FAQ-based RAG treats curated question-answer pairs as the corpus, inverting standard document pipelines. Direct matches return canonical answers verbatim with zero LLM calls, while adjacent matches use few-shot prompting. Misses log gaps for FAQ team review. The approach cuts generation costs significantly.
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