datawhalechina/all-in-rag
🔍大模型应用开发实战一：RAG 技术全栈指南，在线阅读地址：https://datawhalechina.github.io/all-in-rag/
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Where it stands
Rank, growth pace and release cadence relative to everything GStars tracks.
Ranks #115 among AI repositories tracked this week, and #115 over the last 30 days; #529 of 2,845 repositories GStars tracks this week (top 19%).
The project lists 11 contributors on GitHub.
Peaked at #25 in the weekly ranking the week of Nov 23, its best in the past year.
Use Cases & Benefits
- Provides a full-stack tutorial and practical guide for developing Retrieval-Augmented Generation (RAG) applications using large language models.
- Offers a systematic learning path combining theory, hands-on projects, and engineering best practices for building production-ready RAG systems.
- Use for developers seeking to master RAG technology fundamentals and build intelligent question-answering systems.
- Use for AI engineers aiming to implement advanced retrieval techniques including multi-modal embeddings and hybrid search.
- Use for researchers and product developers interested in integrating knowledge graphs and vector databases like Milvus and Neo4j into RAG workflows.
Should you depend on it?
License terms, project hygiene and risks, from GitHub metadata and GStars' snapshots.
License
No license detected
No license file detected by GitHub: unless the project grants one elsewhere, the default is all rights reserved.
Community files
- README: present
Watch-outs
- Warning: No license file detected by GitHub: unless the project grants one elsewhere, you generally have no permission to use, modify or distribute the code.
- No GitHub releases; pin a commit or tag instead of a release.
General guidance from repository metadata, not legal advice. How we score
From the README
从理论到实践，从基础到进阶，构建你的RAG技术体系
本项目是一个面向大模型应用开 发者的RAG（检索增强生成）技术全栈教程，旨在通过体系化的学习路径和动手实践项目，帮助开发者掌握基于大语言模型的RAG应用开发技能，构建生产级的智能问答和知识检索系统。
主要内容包括：
随着大语言模型的快速发展，RAG技术已成为构建智能问答系统、知识检索应用的核心技术。然而，现有的RAG教程往往零散且缺乏系统性，初学者难以形成完整的技术体系认知。
Daily snapshots
Stars gained per day, and how forks and open issues moved, from GStars' daily snapshots
Forks
6.0K+1.2K
Open issues
32+12
Compared with peers in AI
Fastest-growing repositories GStars tracks in this cohort for the week of Oct 11, by 7-day star growth
| Repository | Stars | +7d | Health | Last release |
|---|---|---|---|---|
| storytold/artcraft | 35.2K | +20.3K | 75 | 25 days ago |
| ifixai-ai/iFixAi | 30.7K | +6.9K | 75 | 5 days ago |
| heygen-com/hyperframes | 69.2K | +5.6K | 45 | today |
| vxcontrol/pentagi | 31.8K | +5.4K | 75 | 16 days ago |
| calesthio/OpenMontage | 70.6K | +3.2K | 75 | — |
| datawhalechina/all-in-rag | 12.1K | +0 | 75 | — |
| Category median | 35.2K | +5.6K | 75 | — |
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