Development of Chatbot for the Technological Institute of Zacatepec
DOI:
https://doi.org/10.61117/ipsumtec.v8i3.390Keywords:
Chatbot, IA, LLM, BM25Abstract
The present article presents the development of a chatbot designed for TecNM Instituto Tecnológico de Zacatepec, trained with relevant institutional data to provide agile and natural user assistance on the university's website. The proposed chatbot utilizes Large Language Model (LLM) technology along with advanced information retrieval algorithms. The system aims to reduce the administrative burden on staff and offer users an interactive and efficient experience. The result is a computational system that receives user queries; the BM25 retrieval algorithm searches through a corpus of institution-related data, and finally, the LLM model (GEMMA) processes the context, generating an appropriate response to the request.
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Copyright (c) 2025 Carlos Pérez Calderón , Luis Ángel Vázquez Carrillo , Luis José Muñiz-Rascado , Eugenio César Velázquez-Santana , Noé Alejandro Castro-Sánchez

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