Matt Zeiler, founder and CEO of Clarifai, shares his expertise in retrieval augmented generation (RAG) and its journey from large language models. He discusses how RAG addresses data freshness and hallucinations, utilizing vector databases for dynamic information access. The conversation dives into the architecture and operational challenges of integrating RAG into AI systems. Matt emphasizes the rise of user-friendly AI tools that enable non-experts to create functional prototypes. Tune in for essential insights on the future trends of AI applications and RAG's practical implementations.