HKUDS/MiniRAG
"MiniRAG: Making RAG Simpler with Small and Open-Sourced Language Models"
Constructs a semantic-aware heterogeneous graph combining text chunks and named entities to reduce dependency on complex semantic understanding, then retrieves knowledge via lightweight topology-aware graph traversal rather than dense embeddings. Supports 10+ graph databases (Neo4j, PostgreSQL, TiDB) and achieves comparable performance to LLM-based RAG with 75% less storage while running small models like Phi-3.5-mini and Qwen2.5-3B on-device.
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Language
Python
License
MIT
Category
Last pushed
Oct 16, 2025
Commits (30d)
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