This study presents the development of Geolog-IA, a novel conversational system based on artificial intelligence that responds naturally to questions about geology theses from the Central University of Ecuador. Our proposal uses the Llama 3.1 and Gemini 2.5 language models, which are complemented by a Retrieval Augmented Generation (RAG) architecture and an SQLite database. This strategy allows us to overcome problems such as hallucinations and outdated knowledge. The evaluation of Geolog-IA's performance with the BLEU metric reaches an average of 0.87, indicating high consistency and accuracy in the responses generated. The system offers an intuitive, web-based interface that facilitates interaction and information retrieval for directors, teachers, students, and administrative staff at the institution. This tool can be a key support in education, training, and research and establishes a basis for future applications in other disciplines.
Cite
@article{arxiv.2510.02653,
title = {Geolog-IA: Conversational System for Academic Theses},
author = {Micaela Fuel Pozo and Andrea Guatumillo Saltos and Yeseña Tipan Llumiquinga and Kelly Lascano Aguirre and Marilyn Castillo Jara and Christian Mejia-Escobar},
journal= {arXiv preprint arXiv:2510.02653},
year = {2025}
}