A comprehensive overview of Generative AI, AI Agents, and Agentic AI systems, detailing their nature, purpose, mechanisms, and real-world applications, as well as their common foundation in Large Language Models (LLMs) and the concept of Chain of Thought reasoning. They also provide an in-depth comparison between the LangChain and LangGraph frameworks, explaining their architectural differences, core components like nodes, edges, and state, and specific use cases for building complex, stateful, and multi-agent AI applications with features like looping, branching, and human-in-the-loop functionality

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