基于LLM和RAG技术的地铁标准规范知识库系统研究

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Research on the Knowledge Base System of Subway Standard Specifications Based on LLM and RAG Technologies

TIAN Huaizhen LU Yang （Yunnan Jingjian Rail Transit Investment and Construction Co.， Ltd.）

Abstract：Withtherapid developmentofLargeLanguageModel （LLM）andRetrieval Enhanced Generative （RAG） technologies，achieving rapid retrieval and querying of vertical domain knowledge has become a trend in the intelligentdevelopmentofvariousindustries.Thearticle takes theretrievalandqueryscenarioofrail transitstandard specifications as an example，and details how to build a subway standard specification knowledge base system based onLLMandRAG technologies.Theresults indicate the efectiveness ofthe systemin theapplicationscenarioofrapid queryand retrieval of standard specification knowledge，providing referencefor the development and application of intelligent technology in rail transit.

Keywords： Large Language Model; LLM;Retrieval-augmented Generation;RAG; LlamaIndex

0引言

在人工智能科技创新的浪潮中，以LLM为代表的AI技术已然跃升为重塑产业生态的核心驱动力。（剩余4475字）