KAG Framework: A Knowledge-Augmented Reasoning and Retrieval System
2024-12-30
KAG is a logical reasoning and Q&A framework built upon the OpenSPG engine and large language models. Designed for professional domain knowledge bases, KAG constructs logical reasoning and factual Q&A solutions. It effectively addresses the shortcomings of traditional RAG vector similarity calculations, supporting logical reasoning and multi-hop factual Q&A, outperforming current state-of-the-art methods. Key features include a Knowledge and Chunk Mutual Indexing structure, conceptual semantic reasoning for knowledge alignment, schema-constrained knowledge construction, and logically-form-guided hybrid reasoning and retrieval.
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