Expired60% confidenceFactTime unknown
In RAG scenarios, if retrieved documents contain errors or irrelevant content, the model will be misled and produce hallucinations—the classic 'garbage in, garbage out' problem.
2
Sources
60%
Confidence
Medium-term (~90 days)
Relevance
7/2/2026
First Seen
Valid until: 9/30/2026(expired)
Sources
Related Claims
UnverifiedRetrieval-Augmented Generation (RAG) cannot completely eliminate hallucinations, as the model may still misinterpret retrieved documents or fill in gaps on its own when retrieval results are insufficient.79% similarVerified检索增强生成（RAG）是主流幻觉抑制技术，在模型生成回答前从外部知识库检索相关文档片段作为上下文注入提示词71% similarVerifiedRAG并非幻觉问题的万能解药，当检索到的文档片段与问题无关或内容存在歧义时，模型仍可能产生幻觉71% similar
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