Retrieval-Augmented Generation

Retrieval-Augmented Generation to Support Railways Engineering Tasks: A Case Study
A case study, from design to deployment, of a retrieval-augmented generation system for consulting complex technical regulations in the railway domain.
Andrea Gerardo Russo, Federico Ruggeri, Ivan Tomarchio, Davide Bombini, Nicolò Donati, Gianmarco Pappacoda, Paolo Torroni, Giuseppe-Emiliano La Cara
Cite arXiv
TextAlchemy: an NLP tool to accelerate and semi-automate data extraction, validated in the nutritional field
TextAlchemy uses retrieval-augmented generation to semi-automate data extraction for literature reviews, tested on 42 nutrition papers against human reviewers.
Rooshan Saleem Butt, Matteo Perillo, Michele Visciarelli, Giorgio Pedrazzi, Marco Amato, Andrea Galassi, Rajiv Balakrishna, Anindita Onni, Lars Thore Fadnes, Paolo Torroni, Roberta Turra, Antonello Lorenzini
Cite DOI