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 This strategy allows us to overcome problems such as hallucinations and outdated knowledge.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.

翻译：本研究介绍了Geolog-IA的开发，这是一个基于人工智能的新型对话系统，能够自然地回应关于厄瓜多尔中央大学地质学论文的提问。我们的方案采用了Llama 3.1和Gemini 2.5语言模型，并辅以检索增强生成（RAG）架构和SQLite数据库。这一策略使我们能够克服诸如幻觉和知识过时等问题。使用BLEU指标对Geolog-IA性能的评估平均达到0.87，表明其生成的回答具有高度的一致性和准确性。该系统提供了一个基于Web的直观界面，便于机构内的导师、教师、学生和行政人员进行交互和信息检索。该工具可在教育、培训和研究方面提供关键支持，并为未来在其他学科中的应用奠定了基础。