The AI assistant for RATIONAL is based on the RAG principle (Retrieval Augmented Generation). In the first step, all relevant documents (recipes, operating manuals, service documentation) are broken down into semantic units and stored as vectors in a database.

When a user asks a question, the system searches for the most relevant text passages and passes them to a large language model. The language model generates its answer exclusively based on these retrieved sources, not from general training knowledge. This keeps answers factually correct and traceable.