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检索增强生成流程图

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Landscape 16:9 academic systems diagram of a RAG pipeline, 6-stage left-to-right flow. (1) "User query" box with placeholder text "What are the side effects of drug X?" and a small user silhouette. (2) Hexagonal "Embedding encoder (BERT-style)", caption "dense vector d=768". (3) Stylised database cylinder "Vector store" with "Index: 1.2M chunks"; arrow from (2) labeled "kNN, k=5". (4) "Retrieved passages" — stack of 5 doc thumbnails; caption "top-k chunks + metadata". (5) Hexagonal hub "Frozen LLM"; long curved arrow from (1) labeled "original query" also lands here; arrow from (4) labeled "retrieved context". (6) "Grounded answer" with inline marker "[cite: doc#47]"; caption "with source citations". Dashed outline around (2)-(3) labeled "OFFLINE — built once". Dashed outline around (4)-(5) labeled "ONLINE — per query". Title: "Retrieval-Augmented Generation pipeline". Subtitle: "Lewis et al., 2020".
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来源与使用说明
作者
Wuyoscar(整理)
贡献者
wuyoscar/GPT-Image2-Skill
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unspecified
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收录自 GPT-Image2-Skill(上游提交 05cb1130bba29e0fc028220376280a2e934a8041,案例 No. 81)。上游仓库声明 MIT License,并要求保留图库作者和来源标注;部分案例另有第三方作者/来源,原始素材的单独授权未核实。仓库许可全文见本站项目 docs/third-party/GPT-Image2-Skill-LICENSE.txt。源图库:https://github.com/wuyoscar/GPT-Image2-Skill/blob/05cb1130bba29e0fc028220376280a2e934a8041/skills/gpt-image/references/gallery-research-paper-figures.md

检索增强生成流程图,源图库所展示的生成结果