Learn how to enhance retrieval systems using a novel approach called GARAGe (Generative-Augmented Retrieval-Augmented Generation) in this 31-minute conference talk from MLOps World. Discover how Ada Support flips the traditional RAG paradigm by using generation to improve retrieval rather than the conventional approach of using retrieval to enhance generation. Explore the critical role of retrieval in conversational AI systems and understand why better inputs are essential for reducing hallucinations and improving response accuracy in production environments. Gain insights into advanced techniques for finding, ranking, and passing context to language models, along with practical approaches to building AI agents that generate responses with precision. Examine the recursive methodology behind GARAGe and learn how this innovative approach addresses the limitations of standard RAG methods in real-world applications where businesses need to create, train, and manage their own AI agents effectively.