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Retrieval-Augmented Generation to Support Railways Engineering Tasks: A Case Study

Russo, Andrea Gerardo et al.
arXiv (All) · Papers
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computers-and-societyinformation-retrieval
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 regul
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