sapritanand/OMNI-GRAPH
OmniGraph-RAG is a powerful retrieval-augmented generation (RAG) system that combines semantic vector search with knowledge graph reasoning. By leveraging Groq-accelerated Llama 3 and Neo4j, it extracts complex entity relationships from unstructured data to enable multi-hop logical inference—all running on a 100% free/local-first tech stack.
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Experimental
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Maintenance
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Maturity
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Language
Python
License
MIT
Category
Last pushed
Mar 21, 2026
Commits (30d)
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