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Mastering LangGraph: The Backbone of Stateful Multi-Agent AI

Towards AIby Mukesh Kumar ShahApril 2, 202614 min read0 views
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A Comprehensive Guide to Building Robust, Cyclic AI Workflows in the Generative AI Era Introduction: The Shift to Agentic AI Why do most LLM applications fail in production? Because they lack memory, reasoning, and the ability to adapt.In the rapidly evolving landscape of Generative AI, we are witnessing a paradigm shift. We are moving from simple “question-answering” bots (RAG pipelines) to autonomous agents — systems that can reason, plan, execute actions, and adapt based on feedback. The ability to create simple chains of prompts is no longer sufficient. Agents need to loop, retry, persist state, and interact with other agents. Enter LangGraph — a library designed to build stateful, multi-agent applications withLLMs. In this deep dive, we will explore the core architecture of LangGraph,

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