用检索增强生成技术帮铁路工程师快速查规章，又准又快。
Retrieval-Augmented Generation to Support Railways Engineering Tasks: A Case Study
- 结合检索与大模型生成，精准定位复杂规章
- 从设计到部署完整落地，支持实际工程场景
- 适合需合规审查的工业领域，兼顾专业与技术
日益增长且复杂的技術規範對所有受監管行業的專業人員構成重大挑戰。本文描述了一個從設計到部署的案例研究，展示如何為鐵路領域複雜技術規範的查詢构建檢索增強生成系統。儘管專注於鐵路行業，這一工業實踐經驗對於需要規則合規與精確文檔檢索的技術領域具有重要價值。該方案也提出一種以人為中心的 LLM 驅動技術文檔查詢方法，在技術能力與領域知識之間取得平衡，適用於多個受監管行業的落地應用。
原文摘要 · Abstract (English)
The growing number and complexity of technical regulations represent an important challenge for all professionals in regulated industries. This paper describes a case study, from design to deployment, of building a Retrieval-Augmented Generation system for the consultation of complex technical regulations in the railway domain. Although developed for the railway sector, this testimony of an industrial experience is of particular value for technical domains where regulatory compliance and accurate information retrieval from complex documentation are essential requirements. It also constitutes a human-centered approach for implementing LLM-powered technical documentation consultation across various regulated industries, balancing technological capabilities with domain expertise.
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