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

SSRN Electronic Journal 2026 Preprint Open access

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Authors: Federico Ruggeri, Andrea Gerardo Russo, Ivan Tomarchio, Davide Bombini, Nicolò Donati, Gianmarco Pappacoda, Paolo Torroni, Giuseppe Emiliano La Cara
DOI: 10.2139/ssrn.6036679
Cited by: 0
References: 4

Fields of Study & Subjects

Safety Systems Engineering in Autonomy Quality and Management Systems AI-based Problem Solving and Planning

Publication details

Journal / source
SSRN Electronic Journal
Publication date
1 January 2026
Document type
Preprint