What is AI-RAG-Assistant-Chatbot?
AI-RAG-Assistant-Chatbot is a communication|productivity that ๐จ๐ปโ๐ป Meet Lumina โ my personal chatbot assistant designed to answer any questions, either about me or any other topics. Powered by Retrieval-Augmented Generation (RAG), LangChain, kNN cosine similaril. It has a Nerq Trust Score of 54/100 (D). 33 GitHub stars. Published by Unknown. Last analyzed September 2026.
Why This Score
- โ ๏ธ Security: 0/100 โ Some security concerns
- โ ๏ธ Maintenance: 1/100 โ Maintenance activity is low
- โ ๏ธ Community: 33 stars, 0 downloads โ Growing community
- โ ๏ธ Transparency: License: Not specified โ No license specified
Trust & Safety Overview
What AI-RAG-Assistant-Chatbot Does
AI-RAG-Assistant-Chatbot is a tool in the communication|productivity category. ๐จ๐ปโ๐ป Meet Lumina โ my personal chatbot assistant designed to answer any questions, either about me or any other topics. Powered by Retrieval-Augmented Generation (RAG), LangChain, kNN cosine similarilty search, and Pinecone vector database, Lumina offers intelligent, accurate, and speedy responses t. It is published by an independent developer and has no specified license. With 33 GitHub stars and 0 downloads, it has a small community of users and contributors.
Who Should Use AI-RAG-Assistant-Chatbot
AI-RAG-Assistant-Chatbot is suitable for evaluation and non-critical use. Review the trust score breakdown before using in production.
Details
| Author | Unknown |
|---|---|
| Category | communication|productivity |
| License | Not specified |
| Type | tool |
| Source | View on GitHub |
| Security Score | 0/100 |
| Activity Score | 1/100 |
How to Get Started
Check the trust score before installing:
curl nerq.ai/v1/preflight?target=hoangsonww-ai-rag-assistant-chatbot
Setup guide ยท Full safety report ยท Production review ยท Is it safe?
Safer Alternatives
| Tool | Trust | Stars |
|---|---|---|
| meeting-minutes | 64 | 9.9K |
| pocketpal-ai | 58 | 5.7K |
| olivia | 56 | 3.7K |
| Sidekick | 60 | 3.2K |
| elia | 58 | 2.4K |
Frequently Asked Questions
Last updated September 2026. Trust scores based on automated analysis of public data.