What is RAG Documentation?
RAG Documentation is a coding that RAG Documentation integrates Qdrant vector search for enhanced knowledge access.. It has a Nerq Trust Score of 46/100 (D). 59 GitHub stars. Published by https://github.com/rahulretnan/mcp-ragdocs. Last analyzed November 2026.
Why This Score
- ⚠️ Security: 0/100 — Some security concerns
- ⚠️ Maintenance: 0/100 — Maintenance activity is low
- ⚠️ Community: 59 stars, 0 downloads — Growing community
- ⚠️ Transparency: License: Not specified — No license specified
Trust & Safety Overview
What RAG Documentation Does
RAG Documentation is a mcp_server in the coding category. RAG Documentation integrates Qdrant vector search for enhanced knowledge access.. It is published by https://github.com/rahulretnan/mcp-ragdocs and has no specified license. With 59 GitHub stars and 0 downloads, it has a small community of users and contributors.
Who Should Use RAG Documentation
RAG Documentation is recommended only for experimental use. Consider alternatives with higher trust scores for production systems.
Details
| Author | https://github.com/rahulretnan/mcp-ragdocs |
|---|---|
| Category | coding |
| License | Not specified |
| Type | mcp_server |
| Source | View on GitHub |
| Security Score | 0/100 |
| Activity Score | 0/100 |
How to Get Started
Check the trust score before installing:
curl nerq.ai/v1/preflight?target=rag-documentation
Setup guide · Full safety report · Production review · Is it safe?
Safer Alternatives
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|---|---|---|
| AutoGPT | 65 | 181.9K |
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| system-prompts-and-models-of-ai-tools | 64 | 115.3K |
| opencode | 78 | 108.1K |
Frequently Asked Questions
Last updated November 2026. Trust scores based on automated analysis of public data.