The project presented in this thesis was carried out in collaboration with Brain Technologies, a consulting company specialized in embedded and control systems engineering. The work describes the development of a domain-specific chatbot designed to assist firmware developers during their projects, by providing a tool to help them retrieve information from microcontroller manuals. Firmware documentation is often extensive and heterogeneous, making the search for specific information difficult and time-consuming. The proposed system aims to simplify this process by combining modern Large Language Models (LLMs) with a retrieval pipeline capable of reasoning over complex technical documents. The thesis first introduces the theoretical background on chatbots, Large Language Models, and Retrieval-Augmented Generation (RAG), forming the basis for the practical implementation.