Latent Knowledge Enhanced Product White Paper Automatic Generation Method

Accompanied by the rapid proliferation of security products, users face significant challenges in analyzing and selecting optimal solutions for their projects. To address this issue, we propose a novel method that integrates knowledge graphs and Large Language Models (LLMs) to automatically generate white papers for cybersecurity products. Our approach consists of three key components: 1) constructing a knowledge graph that organizes product data obtained from Internet; 2) interpreting users' interests and analyzing the related data in knowledge graph; and 3) providing product analyses, comparisons, summaries, and purchasing suggestions. This framework effectively bridges the gap between the overwhelming volume of product information and user requirements, offering an efficient and accurate solution for the cybersecurity products.