In the integrated ancient East Asian sphere, literature is an explicit expression of unity. However, due to differences in perspectives, there are huge contrasts and disharmony in contemporary East Asia surrounding historical issues. Using artificial intelligence, specifically the retrieval-enhanced generative model, to build an intelligent research platform for Yanxinglu, and completing research auxiliary work that includes named entity recognition, relationship extraction, and knowledge graph construction, the study of East Asian history can be enhanced. This paper focuses on the construction of the LLM-RAG model and rules in the construction of the Yanxinglu knowledge base, and discusses the time process and precautions for the refined processing of the Yanxinglu text data.