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Learn to build sophisticated agentic applications using LlamaIndex in this 21-minute conference talk that explores the cutting-edge programming paradigm where software autonomously achieves objectives using provided tools. Discover the most common design patterns for agentic applications including chaining, routing, parallelization, orchestrator-workers, and evaluator-optimizers, and see how these patterns are implemented in LlamaIndex. Explore how to combine individual patterns into larger agents and complex multi-agent systems using LlamaIndex's built-in support. Dive deep into Retrieval-Augmented Generation (RAG) as a specific tool that provides agents with real-time information needed to accomplish their goals. Master the techniques for building agents in LlamaIndex, combining them into multi-agent systems, creating powerful tools for agent use, and providing real-time context through retrieval-augmented generation to move beyond basic LLM question-and-answer patterns into applications that can accept structured input and take autonomous action.
