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Construction of intelligent decision support systems through integration of retrieval-augmented generation and knowledge graphs

Proposes a framework for intelligent decision support systems using retrieval-augmented generation and knowledge graphs.

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Construction of intelligent decision support systems through integration of retrieval-augmented generation and knowledge graphs

By Sili Wang, Heng Yang, Guangzu BaiScientific Reports
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The article presents a novel architecture that combines generative models with structured knowledge representations to improve decision accuracy, transparency, and context relevance. The proposed method is tested on three areas: financial services, healthcare management, and supply chain management.

It shows improvement in cross-domain reasoning and ambiguous queries compared to using either technology alone.

Abstract

The article presents a novel architecture that combines generative models with structured knowledge representations to improve decision accuracy, transparency, and context relevance. The proposed method is tested on three areas: financial services, healthcare management, and supply chain management. It shows improvement in cross-domain reasoning and ambiguous queries compared to using either technology alone.

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decision-support-systemsgenerative-modelsknowledge-representationcontextual-understandingtransparencyKnowledge GraphsLarge Language ModelsRetrieval & RAGSemantic Interoperability
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Construction of intelligent decision support systems through integration of retrieval-augmented generation and knowledge graphs | Aramai