Abstract: As global informatization has permeated all stages of resource distribution, advances in digital technology result in major changes in traditional document production structures. The growing demand among users for enhanced value-added services calls for the reconstruction of document resource guarantee system. This study presents a framework for the system reconstruction based on three aspects: system design, management practices, and operational forms. By leveraging a large language model, the study analyzes the development background and internal demands of the reconstruction, establishes a new operational model and examines the operational mechanism of the large language model. The reconstructed model enables intelligent data mining, quality content production, and value-driven information training. Furthermore, it enhances user knowledge guidance and object precision services, offering references for the intelligent evolution of the document resource guarantee systems.