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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".
原始生成信息
- 平台
- 未记录
- 模型显示名
- 未记录模型
- 模型 ID
- 未记录
- 模型证据
- unknown
- 生成时间
- 未记录
来源与使用说明
- 作者
- Wuyoscar(整理)
- 贡献者
- wuyoscar/GPT-Image2-Skill
- 来源
- 查看原始来源
- Prompt 许可
- unspecified
- 媒体许可
- unspecified
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