Artificial intelligence has seen remarkable advances in recent years, especially in the fields of generative models and natural language processing. This rapid technological progress has opened numerous opportunities for applying AI in educational and research contexts. Tools such as large language models enable automated content creation, personalized learning, and more efficient support for students and teachers. Consequently, AI is increasingly being integrated into study processes as a tool for improving access to knowledge, boosting efficiency, and supporting research activities. As part of this thesis, an application prototype based on the RAG architecture was developed. The application enables the uploading of learning materials from the online classroom, their processing and storage in a vector database, conducting conversations with a language model based on these materials, and generating quizzes in a format that allows simple importing into the online classroom. The prototype demonstrates a practical example of applying artificial intelligence to enhance the learning process, as it can support students in studying and exam preparation while also assisting teachers in creating learning content. This work contributes to a better understanding of artificial intelligence and provides a foundation for further development of tools that could be directly integrated into the Moodle platform.
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