By constructing a quality knowledge graph based on work units and a Retrieval Augmented Generation (RAG) system based on Large Language Models (LLM), the efficiency and accuracy of quality information processing in the equipment manufacturing process can be improved, enabling the effective extraction and reuse of technical data and materials.