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.

519
Stars
112
Forks
46.0
Radar Score
Stable
Momentum

Scoring Breakdown

Impact57.1
Velocity37.8
Health39.8

Growth Metrics

7-Day Stars
+0
30-Day Stars
+0
Acceleration
x
Language
Python

Why it ranks

Steady growth — consistently collecting stars and contributors.

RAG · vector databaseTop 49% globally
View on GitHub