All In Rag EU AI Act Compliance Profile
datawhalechina · Visit website ↗
Your risk depends on how you use All In Rag
| Usage Context | Risk Level | Obligations |
|---|---|---|
| Internal coding tool | MINIMAL | 3 obligations (~12h) |
| Customer support bot | LIMITED | 7 obligations (~32h) |
| HR screening / hiring | HIGH | 19 obligations (~120h) |
| Credit decisions | HIGH | 19 obligations (~120h) |
| Medical triage | HIGH | 19 obligations (~120h) |
Why this tool is classified as LIMITED RISK
🔍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/
Applicable Articles
Who does what
datawhalechina (provider)Their job
- Provider obligations being compiled
You (deployer)Your job
- •AI Literacy (Art. 4) (Art. 4)
- •AI Disclosure (Art. 50) (Art. 50)
Risk Assessment Reasoning
The tool appears to be focused on developing applications using RAG technology, which typically involves information retrieval and generation tasks. While it may not pose significant risks to fundamental rights, it could still have implications depending on its specific use cases and data handling.
Similar Models
Frequently Asked Questions
What is All In Rag's EU AI Act risk classification?
+
All In Rag is classified as LIMITED RISK under the EU AI Act.
What are my obligations if I deploy All In Rag?
+
As a All In Rag deployer, you have 2 base obligations (~12 hours estimated effort). Key articles: Art. 4, Art. 50.
What is All In Rag?
+
All In Rag is a Unknown model. It has 0 downloads on HuggingFace.
What are the EU AI Act deadlines for All In Rag?
+
Already passed: AI Literacy (Art. 4) — 2025-02-02. Already passed: AI Disclosure (Art. 50) — 2025-08-02.
Check All In Rag compliance in your codebase
One command to scan. Open-source CLI.