laxmimerit/Agentic-RAG-with-LangGraph-and-Ollama
Building production-ready Retrieval-Augmented Generation (RAG) systems with LangGraph orchestration and local Ollama models for privacy-preserving AI applications.
45
Stars
28
Forks
31.0
Radar Score
Stable
Momentum
Scoring Breakdown
Impact21.3
Velocity37.8
Health36.9
Growth Metrics
7-Day Stars
+0
30-Day Stars
+0
Acceleration
x
Language
Jupyter Notebook
Why it ranks
Steady growth — consistently collecting stars and contributors.
RAG · rag frameworkTop 80% globally
Popular Alternatives & Competitors
Top projects in the same category (RAG) — compare side by side.
🛡️ Enterprise Readiness & Commercial Safety
Organic Growth
95%
High Confidence
Growth pattern looks organic.
License
Unlicensed / Custom
Review license terms carefully before commercial adoption.
Health Grade
C
Based on maintenance, issue response, and release cadence.
Radar Score
31.0
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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