Exploration of the Integration and Application of Large Model and Standard Literature Knowledge Base

Abstract: In the context of artificial intelligence and big data technology, the use of large models and the construction of standard literature knowledge bases are of great value for scientific research innovation, knowledge mining, and information retrieval. The standard literature knowledge base provides solid support for the standardization and standardization of various industries. This study first explores the current status of standard literature, then builds a framework for integrating large models and standard literature knowledge bases based on retrieval enhancement, and proposes exploration of enhancement optimization in each stage. Finally, it looks forward to future research directions and application prospects.