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Explore the capabilities of LangGraph, a powerful library for creating stateful, multi-actor applications with Large Language Models (LLMs), in this 27-minute tutorial. Learn how to build advanced agent and multi-agent workflows that incorporate cycles, fine-grained control, and built-in persistence. Discover the key advantages of LangGraph over other LLM frameworks, including its ability to define cyclic flows essential for agentic architectures, provide precise control over application flow and state, and enable advanced human-in-the-loop and memory features. Access the accompanying code on Google Colab to practice implementing these concepts hands-on.
