Abstract: [Purpose/Significance] The purpose of this paper is to explore the methods, tools, technical frameworks, and application practices on how to use Large Language Model（LLM）combined with knowledge base and AI agent for knowledge mining, which is a typical business in the field of intelligence, and to provide a reference for in-depth explorations of the professional and scenario-based applications of LLMs in the field of intelligence. [Design/Methodology] This study systematically investigates and analyzes LLM combined with knowledge base and AI Agent related technologies and tools, and carries out knowledge mining and testing for scientific and technological literature. [Findings/Conclusion] As a logical hub, LLM combines knowledge base and AI Agent to link domain knowledge with specific tools, enabling independent subdivision of knowledge mining tasks, with the ability to complete the entire process autonomously and intelligently. [Originality/Value] This paper systematically and comprehensively explores the intelligent means for carrying out knowledge mining tasks based on LLM from the perspectives of concepts, methods, technological frameworks, and applications, providing certain insights for future practices and research in the field of intelligence.

Keywords: Generative AI, Large language model, Knowledge base, AI agent, Knowledge mining