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NexusRAG
Hybrid RAG system combining vector search, knowledge graph (LightRAG), and cross-encoder reranking — with Docling document parsing, visual intellig...
Updated means this listing was last refreshed on Mar 25, 2026.
About NexusRAG
Pricing:Free
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. LeDat98/NexusRAG is an open source project on GitHub with 215 stars. Built primarily in Python. Topics: chromadb, citation, docling, document-parsing, fastapi, gemini, knowledge-base, knowledge-graph, lightrag, ollama.
Pros
- •Accessible pricing model for early testing.
Cons
- •Pricing details are limited and may require visiting the official website.
- •Limited public review volume, so performance may vary by workflow.
- •No screenshots provided for quick visual evaluation.
