Bessouat40/RAGLight

RAGLight is a modular framework for Retrieval-Augmented Generation (RAG). It makes it easy to plug in different LLMs, embeddings, and vector stores, and now includes seamless MCP integration to connect external tools and data sources.

657 100 +0/wk

GitHub

agentic-ai agentic-rag agentic-workflow artificial-intelligence data-science framework huggingface lmstudio mcp mcp-tools mistral-api mistralai

Trend 3

Star & Fork Trend (61 data points)

Stars

Forks

Multi-Source Signals

GitHub

stars 657

forks 100

Growth Velocity

Bessouat40/RAGLight has +0 stars this period . 7-day velocity: 0.1%.

Deep analysis is being generated for this repository.

Signal-backed technical analysis will be available soon.

Metric	RAGLight	SkillNet	generative-ui	xyne
Stars	657	657	659	659
Forks	100	64	61	61
Weekly Growth	+0	+1	+1	+0
Language	Python	Python	N/A	TypeScript
Sources	1	1	1	1
License	MIT	MIT	N/A	Apache-2.0

Capability Radar vs SkillNet

RAGLight

SkillNet

Maintenance Activity 95

Last code push 16 days ago.

Community Engagement 76

Fork-to-star ratio: 15.2%. Active community forking and contributing.

Issue Burden 70

Issue data not yet available.

Growth Momentum 30

No measurable growth in the current period (first-day cold start expected).

License Clarity 95

Licensed under MIT. Permissive — safe for commercial use.

Risk scores are computed from real-time repository data. Higher scores indicate healthier metrics.