RAG (Retrieval-Augmented Generation) is an advanced technique that combines information retrieval with text generation to improve the quality and accuracy of responses in artificial intelligence systems, especially in language models like GPT. In this case, a private knowledge base (the book Alice in Wonderland) was used, and the system provides the best answer to the question by leveraging vector proximity to identify the most relevant information.