LeDat98/NexusRAG

Hybrid RAG system combining vector search, knowledge graph (LightRAG), and cross-encoder reranking — with Docling document parsing, visual intelligence (image/table captioning), agentic streaming chat, and inline citations. Powered by Gemini or local Ollama models.

257 56 +0/wk

GitHub

chromadb citation docling document-parsing fastapi gemini knowledge-base knowledge-graph lightrag ollama rag react

Trend 3

Star & Fork Trend (28 data points)

Stars

Forks

Multi-Source Signals

GitHub

stars 257

forks 56

Growth Velocity

LeDat98/NexusRAG has +0 stars this period . 7-day velocity: 2.0%.

Deep analysis is being generated for this repository.

Signal-backed technical analysis will be available soon.

Metric	NexusRAG	awesome-ai-agents-2026	twelvet	ai-system-design-guide
Stars	257	257	257	258
Forks	56	109	62	69
Weekly Growth	+0	+10	+0	+1
Language	Python	N/A	Java	N/A
Sources	1	1	1	1
License	N/A	NOASSERTION	Apache-2.0	N/A

Capability Radar vs awesome-ai-agents-2026

NexusRAG

awesome-ai-agents-2026

Maintenance Activity 100

Last code push 4 days ago.

Community Engagement 100

Fork-to-star ratio: 21.8%. 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 30

No clear license detected — proceed with caution.

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