ended5월 10일· 1 sources

Why Your RAG Chatbot Fails in Production After a Perfect Demo

데모는 성공, 실전은 실패? RAG 챗봇의 ‘환각’을 잡는 시스템 설계법

Why it matters

RAG systems often plateau at 70-80% accuracy because naive implementations cannot handle the messiness of real-world data and unpredictable user queries. To bridge the gap between a demo and a reliable production tool, developers must prioritize systematic evaluation over prompt engineering.

1
Sources
+0
24h
Growth
133d
Active
RAGChatbot HallucinationProduction RAGRetrieval PrecisionEvaluation Set

Sources

Related Issues