Entwicklung eines Chatbots für die öffentlich zugängliche Website der TH Köln

A chatbot was built for the publicly accessible website of the Technical University of Cologne, employing a Retrieval‑Augmented Generation approach that combines semantic vector search on crawled web content with a large language model (LLaMA 3) to generate natural‑language answers and cite sources. The system was prototyped with a Gradio web interface, hosted on Groq, and evaluated by comparing several LLMs on answer quality and clarity. The results demonstrate that a data‑driven assistant can meaningfully improve information access for university users.