he study of the history of the CPC faces core challenges such as fragmented historical materials, a single form of dissemination, and insufficient personalized education.To address these issues, this study constructs an intelligent corpus for the study of the history of the CPC.Its core innovation lies in proposing a dedicated OCR adaptation scheme for Party history documents and a parent-child segmented knowledge base construction model, forming a technical framework "based on OCR adaptation and transformation, with a parent-child segmented knowledge base as the core, and supported by four functional modules(intelligent question answering, word cloud, knowledge graph, and mind map)." This article analyzes the key problem-solving strategies and functional module implementation mechanisms in the development of the intelligent corpus, extracts the construction experience in technology adaptation, knowledge structuring, and demand orientation, and discusses existing problems such as corpus processing, proofreading tools, and knowledge base development, providing a reference for the technological empowerment of the deepening of Party history research.