ReAct (Reason + Act) is a framework for building AI agents that integrate reasoning and task execution. Using large language models like Gemini, ReAct agents dynamically solve problems by choosing appropriate tools and iteratively working toward solutions. This guide provides a detailed explanation of the framework and a step-by-step process for building a ReAct agent from scratch. It covers tool interaction, iterative problem-solving, and the benefits of combining reasoning with action within an LLM-centric framework.
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