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Explore the evolution from traditional Retrieval-Augmented Generation (RAG) systems to sophisticated multi-agent architectures in this 19-minute conference talk from Fully Connected London. Discover how context engineering serves as the foundation for both traditional RAG implementations and advanced agentic systems that employ iterative, multi-step refinement processes. Learn about smarter retrieval techniques, filtering mechanisms, and orchestration strategies that enable more effective information processing. Examine how agentic RAG systems improve response quality through iterative refinement and understand the transition to multi-agent systems that leverage shared contextual knowledge for collaborative problem-solving. Gain insights into the future of AI systems where multiple agents work together using distributed contextual understanding to tackle increasingly complex computational tasks.
