Unverified60% confidenceFactExact time
RAG (Retrieval-Augmented Generation) was proposed by Lewis et al. in 2020, with the core idea of decoupling parametric knowledge from non-parametric knowledge and dynamically retrieving relevant documents to concatenate into the prompt at inference time.
2
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60%
Confidence
Long-term
Relevance
7/12/2026
First Seen
Sources
AI持久记忆三层架构详解：Mem0、Zep与ContextNest深度对比
hackernewshackernews7/3/2026
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