Development and Application of a Knowledge Retrieval and Analysis System for the Power Industry Based on Knowledge Graph and Large Language Model

Abstract

With the rapid development of artificial intelligence technology, knowledge retrieval systems in the power industry are facing technological updates and iterations. A knowledge retrieval and analysis system for the power industry based on knowledge graph and big language model has been proposed. Firstly, using big language models to mine user needs and understand their intentions; Then, for knowledge information with different structures, structured knowledge graphs are constructed through strategies such as knowledge modeling, knowledge extraction, and knowledge fusion; Finally, utilizing a large language model based on user requests and professional knowledge obtained from knowledge subgraphs, and visualizing the generated content for display to users, provides a new approach for knowledge retrieval systems in the power industry.

Keywords

• large language model
• knowledge graph
• knowledge extraction