Using RAG in the development of B@UNAM instructional scripts
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Abstract
This project describes the implementation of Generative Artificial Intelligence (GenAI) as support for the development of educational content for UNAM's Distance Learning High School (B@UNAM). The project focuses on complementing the process of creating instructional scripts through the application of RAG (Retrieval-Augmented Generation) systems that integrate more than 1,450 essential and fundamental learning objectives established by UNAM for this educational level. A system was developed based on the large language model Llama 3.2, which utilizes a specialized database of academic documents indexed through a unique key system by knowledge area. This architecture enables the generation of high-quality content while maintaining traceability and verification of the sources used.
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