In the modern military environment, natural language processing (NLP) technology and intelligent dialogue systems are reshaping command and control (C&C), intelligence analysis, and the way soldiers interact with their equipment. With the advancement of artificial intelligence technology, military operations have put higher requirements on the speed and accuracy of information processing, prompting the military to seek more intelligent and efficient communication and decision support tools. In this context, this study focuses on three different combinations of technologies: The integration of large language model knowledge graph, the fusion of LangChain and large language model, and the collaborative application of large language model, LangChain and knowledge graph are aimed at exploring the characteristics, applicable scenarios and advantages and disadvantages of each combination, so as to provide guidance for selecting the most suitable solution for different applications in the military field. Through the comparative analysis of these three technology combinations, this study not only reveals their respective technical advantages, but also shows their potential in military applications, and provides a valuable reference for the future construction of military intelligence.