Implementation of QueryBot UNT: a hybrid RAG chatbot for university academic and administrative queries
Article Sidebar
Main Article Content
Abstract
In universities, much academic and administrative information is scattered across regulations, directives, and institutional communications, making it difficult for students to access it in a timely manner. This research aimed to implement and evaluate QueryBot UNT, a chatbot based on a hybrid architecture of augmented generation by retrieval (RAG) to answer university queries using official documents as a source of knowledge. The system includes semantic retrieval mechanisms and generates document-supported responses, reducing the need for manual searches across multiple institutional archives. The Chatbot Usability Questionnaire (CUQ) was used to evaluate the solution through a study with 30 seventh-semester Systems Engineering students at the National University of Trujillo. The results showed a favorable perception of usability, with an average score exceeding the established acceptability threshold for this type of system. The results demonstrated that QueryBot UNT was well-received and confirmed its effectiveness as a support tool for facilitating access to the university's academic and administrative information.
Article Details
This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
When an author creates an article and publishes it in a journal, the copyright passes to the journal as part of the publishing agreement. Therefore, the journal becomes the owner of the rights to reproduce, distribute and sell the article. The author retains some rights, such as the right to be recognized as the creator of the article and the right to use the article for his or her own scholarly or research purposes, unless otherwise agreed in the publication agreement.
How to Cite
References
[1] E. M. Molina Castellano y J. M. Ocaña, «Eficacia de los Chatbots para la depresión en adultos. Revisión sistemática», rcrc, vol. 10, n.º 21, pp. 17–29, dic. 2025.
https://doi.org/10.53877/rc10.21-606
[2] C. S. Orduz-Cortes, P. Y. Niño-Pérez, E. Pérez-Sandoval, y A. N. Padilla-Jaimes, «Impacto de la inteligencia artificial en la práctica clínica en salud mental: una revisión sistemática: Impact of Artificial Intelligence on Clinical Practice in Mental Health: A Systematic Review», Health care & global health, vol. 10, n.º 2, jun. 2026.
https://doi.org/10.22258/hgh.v10i2.396
[3] M. Garzón-Quiroz, G. del Campo-Saltos, y B. Loor-Ávila, "Análisis sistemático sobre la eficiencia comunicativa entre chatbots basados en reglas y modelos de lenguaje natural," 2025.
https://doi.org/10.17163/uni.n42.2025.07
[4] I. Hernández Bas, Desarrollo de un chatbot especializado en enfermedades raras basado en técnicas RAG (Retrieval-Augmented Generation), Trabajo Fin de Máster, Universidad Pontificia Comillas, Madrid, España, 2026. Disponible en: http://hdl.handle.net/11531/98413
[5] J. L. León Carrión y H. M. Quinde Pasato, Desarrollo de un sistema integrado de captura, procesamiento y consulta de información nutricional de productos procesados y ultra procesados: una aplicación móvil con asistente virtual basado en RAG, Trabajo de Titulación para obtener el título de Ingeniero de Sistemas, Universidad de Cuenca, Cuenca, Ecuador, ene. 2025. Disponible en: https://dspace.ucuenca.edu.ec/handle/123456789/46228
[6] K. B. A. Ábalos Ramírez, "Diseño de un sistema inteligente de agente conversacional para consultas académicas en entornos universitarios," Tesis, 2025. [En línea]. Disponible: https://hdl.handle.net/20.500.12880/14092
[7] G. M. Chaffo Aguilar y J. C. Mariños Urquiaga, "Modelado e implementación de un sistema distribuido para la gestión de consultas en las bibliotecas de la Universidad Nacional de Trujillo," Tesis de pregrado, Escuela Académico Profesional de Informática, Facultad de Ciencias Físicas y Matemáticas, Universidad Nacional de Trujillo, Trujillo, Perú, 2013.
[8] C. A. Ortiz Valentin, H. M. Padilla Osuna, H. J. Escobar Cuevas, and M. Camacho Martinez, "Asistente inteligente para consultas académicas y administrativas de la Facultad de Informática de la UAS," International Journal of Information Science and Technological Applications-UAS IJISTA, vol. 2, no. 1, pp. 36–46, May 2026. Disponible en: https://revistas.uas.edu.mx/index.php/IJISTA/article/view/1825
[9] R. V. K. Bevara, B. D. Lund, N. R. Mannuru, S. P. Karedla, Y. Mohammed, S. T. Kolapudi y A. Mannuru, "Prospects of Retrieval Augmented Generation (RAG) for Academic Library Search and Retrieval," Information Technology and Libraries, vol. 44, no. 2, 2025.
https://doi.org/10.5860/ital.v44i2.17361
[10] B. H. Espinosa-Luna, J. Castillo-Oliva, B. A. Montañez-Díaz y A. Mendoza-De-los-Santos, "Implementación de un chatbot basado en modelo de lenguaje de inteligencia artificial para responder preguntas frecuentes de estudiantes universitarios," Revista Científica de Sistemas e Informática, vol. 3, no. 2, p. e570, 2023.
https://doi.org/10.51252/rcsi.v3i2.570
[11] S. Sotnik, T. Shakurova y V. Lyashenko, “Development features web-applications,” International Journal of Academic and Applied Research, vol. 7, no. 1, pp. 79–85, 2023. Disponible en: https://openarchive.nure.ua/handle/document/21600
[12] Google Cloud, “What is pgvector?,” 2026. Disponible en: https://cloud.google.com/discover/what-is-pgvector?hl=es-419
[13] ServBay, “Guía para utilizar la extensión pgvector de PostgreSQL en ServBay,” s. f. Disponible en: https://support.servbay.com/es/database-management/postgresql-extensions/pgvector
[14] N. E. Sánchez, G. C. Michay y J. V. Calderón, "Inteligencia artificial generativa en educación superior: una revisión sistemática de literatura hispanohablante," Espacios, vol. 46, no. 6, pp. 14-25, 2025. https://doi.org/10.48082/espacios-a25v46n06p02
[15] V. C. Contreras Cortez, Usabilidad de un chatbot basado en inteligencia artificial y satisfacción del cliente en una entidad financiera, Lima - 2025, tesis de licenciatura, Universidad Autónoma del Perú, Lima, Perú, 2025. Disponible en: https://hdl.handle.net/20.500.13067/3923
[16] S. Holmes, A. Moorhead, R. Bond, H. Zheng, V. Coates, and M. McTear, "Usability testing of a healthcare chatbot: Can we use conventional methods to assess conversational user interfaces?" in Proc. 31st Eur. Conf. Cogn. Ergonomics, 2019, pp. 207-214.
https://doi.org/10.1145/3335082.3335094
[17] J. R. Lewis and J. Sauro, “Item benchmarks for the System Usability Scale,” Journal of Usability Studies, vol. 13, no. 3, pp. 158–167, May 2018.