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A Multi-Agent and synergistic Knowledge Graph retrieval-augmented generation framework for intelligent maintenance

This paper proposes a framework for intelligent maintenance using multi-agent and synergistic knowledge graph retrieval-augmented generation.

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A Multi-Agent and synergistic Knowledge Graph retrieval-augmented generation framework for intelligent maintenance

By Jia Lin, Chong Chen, Tao Wang, Zhuowei Wang, Lianglun ChengJournal of Manufacturing Systems
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The authors present a framework that combines multi-agent systems with knowledge graph retrieval-augmented generation to improve intelligent maintenance. The framework is designed to enhance the efficiency and effectiveness of maintenance tasks by leveraging the strengths of both approaches.

This work contributes to the development of more advanced maintenance systems that can adapt to complex environments.

Abstract

The authors present a framework that combines multi-agent systems with knowledge graph retrieval-augmented generation to improve intelligent maintenance. The framework is designed to enhance the efficiency and effectiveness of maintenance tasks by leveraging the strengths of both approaches. This work contributes to the development of more advanced maintenance systems that can adapt to complex environments.

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multi-agent systemsknowledge graph retrieval-augmented generationintelligent maintenanceframework developmentKnowledge GraphsContent EngineeringAI AgentsRetrieval & RAG
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