Protótipo de ChatBot Open Source com RAG e Dados Estruturados para Apoio Académico

Abstract

This article presents the development of an open-source educational chatbot prototype for student support at Universidade Aberta. Combining large language models (LLM) with RAG (Retrieval-Augmented Generation) and integration with structured databases, the system responds to academic queries on courses, curriculum and administrative processes. Its modular architecture, classification and generation models, and test results demonstrate the technical feasibility of the solution.

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