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TCM MLKG-RAG: Traditional Chinese Medicine Intelligent Diagnosis Based on Multi-Layer Knowledge Graph Retrieval-Augmented Generation

A retrieval-augmented generation model for traditional Chinese medicine knowledge graph.

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TCM MLKG-RAG: Traditional Chinese Medicine Intelligent Diagnosis Based on Multi-Layer Knowledge Graph Retrieval-Augmented Generation

By Qi Chen, Lin Ni
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The authors propose a TCM knowledge graph RAG that integrates multi-layered knowledge bases to address the issue of redundant data volumes in TCM search engines.

The model uses two retrieval methods: keyword retrieval and therapy retrieval, which are designed to search for information on TCM-specific terms and locate diseases based on medical and patient information.

Abstract

The authors propose a TCM knowledge graph RAG that integrates multi-layered knowledge bases to address the issue of redundant data volumes in TCM search engines. The model uses two retrieval methods: keyword retrieval and therapy retrieval, which are designed to search for information on TCM-specific terms and locate diseases based on medical and patient information.

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traditional chinese medicineretrieval-augmented generationmulti-layered knowledge basestcm search enginesknowledge graph retrievalKnowledge GraphsLarge Language ModelsRetrieval & RAGOntology & Taxonomy
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