arnobt78/RAG-PDF-Chat-Multi-Agent-Pipeline--Python-React-FullStack
A full-stack RAG demo you can run locally or deploy to a VPS: upload a PDF, build a per-browser vector index (FAISS), chat with an LLM using retrieved context. The UI is a React + TypeScript SPA; the API is FastAPI + LangChain with a multi-agent pipeline, Sentry tunneling, & sensible production defaults (CORS, rate limits, session disk cleanup)
6
Stars
6
Forks
0.0
Radar Score
Declining
Momentum
Scoring Breakdown
Impact0.0
Velocity0.0
Health0.0
Growth Metrics
7-Day Stars
+0
30-Day Stars
+0
Acceleration
x
Language
TypeScript
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🛡️ Enterprise Readiness & Commercial Safety
Organic Growth
95%
High Confidence
Growth pattern looks organic.
License
NOASSERTION
Review license terms carefully before commercial adoption.
Health Grade
C
Based on maintenance, issue response, and release cadence.
Radar Score
0.0
Composite of Impact, Velocity, and Health.
Disclaimer: This is an automated heuristic assessment based on public GitHub signals. Always perform your own security audit, dependency review, and legal compliance check before production deployment.
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