Diseño de un agente de búsqueda inteligente para facilitar información de requerimientos en una empresa de telecomunicaciones

Abstract

CONDITION FOR PUBLICATION OF PROJECT. project proposes the design of an intelligent agent aimed at facilitating access to technical information on functional requirements within a telecommunications company. The main objective is to improve how users retrieve historical documentation, reducing ambiguity, search time, and loss of relevant information. The proposal is justified by the need to automate information retrieval processes and to apply artificial intelligence technologies in enterprise environments. For the development of the system, open-source tools such as GitLab, Qdrant, n8n, and the Llama language model were used. A modular RAG-based (Retrieval-Augmented Generation) architecture was designed, integrating automated workflows, technical text vectorization, and natural language response generation. The results showed that the solution is technically feasible, functional in local environments, and capable of responding accurately to natural language questions. Additionally, the usefulness of applying generative AI to structured technical data was confirmed. It is concluded that the proposed intelligent agent can be integrated into the company’s current infrastructure, optimizing requirements consultation and enhancing the reuse of technical knowledge.