All In RAG

VERIFIED

🔍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/

Downloads 0
Stars 7.8K
Version 1.0.0
Quality 100/100 · Excellent

Install with one command

$ npx skills add datawhalechina/all-in-rag

Best for

RAG and knowledge

Use these skills to ingest documents, index knowledge, retrieve relevant context, and make agents better at answering with grounded sources.

Choose it when

  • You want a GitHub-backed skill with 7.8K stars.
  • You need a reusable install command for agents.
  • You want to compare it with related marketplace skills.

Check before install

  • Pushed 3d ago
  • License: Unknown
  • Review the repository README and examples.

Quality profile

Excellent candidate for agent workflows

High-confidence pick with strong adoption and healthy maintenance signals.

100
GitHub stars
7.8K
Freshness
3d ago
Install ready
Yes
License
Unknown

Workflow fit

Use this skill in these scenarios

Stack fit

Add it to a complete workflow

Overview

🔍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/

Imported by the skill-only GitHub discovery pipeline because it matches agent skill, automation, RAG, or developer-tool signals. Protocol-server projects are excluded from automated imports.

Platform Compatibility

pythonFULL
ragFULL

Technical Details

Version
1.0.0
License
Unknown
Last Updated
5/23/2026
Published
5/23/2026

Frameworks & Tools

PythonRAG

Author

D

datawhalechina

@datawhalechina

Health Signals

GitHub stars
7.8K
Quality score
69/100
Last GitHub push
May 19, 2026
Framework hints
2

Community Signal

Share whether this skill looks useful for your agent workflow. Aggregated feedback improves rankings over time.

Trust & Safety

  • Open source (public GitHub repo)
  • AI static analysis passed
  • License: Unknown
  • Manually verified by team