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TagRAG: Tag-guided Hierarchical Knowledge Graph Retrieval-Augmented Generation

A framework for efficient global reasoning and scalable graph maintenance in knowledge graphs.

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TagRAG: Tag-guided Hierarchical Knowledge Graph Retrieval-Augmented Generation

By Wenbiao Tao, Li, Xinyuan, Lan, Yunshi, Weining QianarXiv (Cornell University)
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This paper proposes a tag-guided hierarchical knowledge graph retrieval-augmented generation (RAG) framework called TagRAG.,TagRAG introduces two key components: Tag Knowledge Graph Construction and Tag-Guided Retrieval-Augmented Generation.,The framework is designed to address limitations of traditional RAG methods, such as inefficiencies in information extraction and costly resource consumption.

Abstract

This paper proposes a tag-guided hierarchical knowledge graph retrieval-augmented generation (RAG) framework called TagRAG.,TagRAG introduces two key components: Tag Knowledge Graph Construction and Tag-Guided Retrieval-Augmented Generation.,The framework is designed to address limitations of traditional RAG methods, such as inefficiencies in information extraction and costly resource consumption.

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tag-guidedhierarchicalknowledge graphretrieval-augmented generationKnowledge GraphsRetrieval & RAGLarge Language ModelsSemantic Interoperability
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