Moritz Müller, a leader in AI applications, discusses the future of information access with retrieval augmented generation and large language models. He highlights the importance of metadata, vector similarity searches, and supervised fine-tuning for accurate data retrieval. The podcast explores personalized content, semantic search engines, and enriching embeddings to enhance language model accuracy. It ends with insights on how retrieval augmented generation will revolutionize AI innovations in the coming years.