Explore the future of advanced AI assistants in this 29-minute conference talk from Ray Summit 2024. Dive into Jerry Liu's vision for LlamaIndex as he discusses the transition from simple RAG stacks to sophisticated multi-agent systems. Learn about the challenges and solutions in creating AI assistants capable of reasoning over diverse inputs, combining retrieval with tool use, and tackling complex tasks across multiple data sources. Gain insights into core building blocks for advanced research assistants, including cutting-edge RAG modules and event-driven workflow orchestration. Discover how developers can improve ergonomics and streamline production deployment of reliable multi-agent systems. Perfect for developers and AI enthusiasts looking to push the boundaries of AI technology beyond basic question-answering to solve arbitrarily complex problems.