Improving Large Language Models Responses with Retrieval Augmented Generation in Animal Production Certification Platforms

Pedro Bilar Montero, Jonas Bulegon Gassen, Glênio Descovi, Vinícius Maran, Tais Oltramari Barnasque, Matheus Friedhein Flores, Alencar Machado

2025

Abstract

This study explores the potential of integrating Large Language Models (LLMs) with Retrieval-Augmented Generation (RAG) to enhance the accuracy and relevance of responses in domain-specific tasks, particularly within the context of animal health regulation. Our proposal solution incorporates a RAG system on the PDSA-RS platform, leveraging an external knowledge base to integrate localized legal information from Brazilian legislation into the model’s response generation process. By combining LLMs with an information retrieval module, we aim to provide accurate, up-to-date responses grounded in relevant legal texts for professionals in the veterinary health sector.

Paper Citation

in Harvard Style

Montero P., Gassen J., Descovi G., Maran V., Barnasque T., Flores M. and Machado A. (2025). Improving Large Language Models Responses with Retrieval Augmented Generation in Animal Production Certification Platforms. In Proceedings of the 27th International Conference on Enterprise Information Systems - Volume 1: ICEIS; ISBN 978-989-758-749-8, SciTePress, pages 489-500. DOI: 10.5220/0013286100003929

in Bibtex Style

@conference{iceis25,
author={Pedro Montero and Jonas Gassen and Glênio Descovi and Vinícius Maran and Tais Barnasque and Matheus Flores and Alencar Machado},
title={Improving Large Language Models Responses with Retrieval Augmented Generation in Animal Production Certification Platforms},
booktitle={Proceedings of the 27th International Conference on Enterprise Information Systems - Volume 1: ICEIS},
year={2025},
pages={489-500},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0013286100003929},
isbn={978-989-758-749-8},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 27th International Conference on Enterprise Information Systems - Volume 1: ICEIS
TI - Improving Large Language Models Responses with Retrieval Augmented Generation in Animal Production Certification Platforms
SN - 978-989-758-749-8
AU - Montero P.
AU - Gassen J.
AU - Descovi G.
AU - Maran V.
AU - Barnasque T.
AU - Flores M.
AU - Machado A.
PY - 2025
SP - 489
EP - 500
DO - 10.5220/0013286100003929
PB - SciTePress