#3131st of 55 in Learning and cookbooks
all-in-rag
Chinese-language RAG tutorial with code, from chunking to Graph RAG
- Stars
- 12.4k
- License
- no license
- Last commit
- Sep 2026
- Language
- Python
Missed the latest GitHub check; these facts may be older.
Overview
A Datawhale course on building retrieval-augmented generation systems in Python, written mainly in Chinese with an English README. It covers data loading, chunking, text and multimodal embeddings, Milvus, hybrid search, Text2SQL, query rewriting, evaluation and a knowledge-graph RAG chapter. Chapters 8 and 9 build a full project and then add Graph RAG; chapter 10 is still planned.
Who it is for: Python developers learning to build RAG systems, reading Chinese
Strengths
- Covers the full pipeline: loading, chunking, embedding, Milvus, hybrid search, Text2SQL, evaluation
- Includes multimodal embedding and Graph RAG chapters plus a worked end-to-end project
- Each chapter pairs written explanation with code in the repo
- Online reader site and an English README are available
Weaknesses
- Main tutorial text is in Chinese; the English version is a separate README
- CC BY-NC-SA 4.0 terms bar commercial use; no license was detected by tooling
- Chapter 10, the second project, is listed as planned and not written
- Only Extra-chapter pull requests are accepted for documentation
What it needs
- Needs Python 3.12.7, Milvus, Neo4j, Docker
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