NexusRAG
LeDat98
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.
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6 data points · 2026-04-10 → 2026-09-05How do you feel about this project?
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Question copied to clipboardWhat is the LeDat98/NexusRAG GitHub project? Description: "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.". Written in Python. Explain what it does, its main use cases, key features, and who would benefit from using it.
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