Deep Dive into LangGraph – State & State Schema

TheAILearner · Intermediate ·🤖 AI Agents & Automation ·9mo ago

Key Takeaways

This video teaches how to work with LangGraph's State and State Schema to define data flow and evolution within a graph

Original Description

Welcome to this deep dive on LangGraph's State! In this video, we’ll explore one of the core concepts in LangGraph — the State — which defines how data flows and evolves within your graph. You’ll learn: ✅ What exactly a State is in LangGraph ✅ The difference between TypedDict and Pydantic schemas ✅ How to define and use multiple State schemas in your LangGraph ✅ Practical code examples and best practices By the end, you’ll have a solid understanding of how to design, manage, and extend your LangGraph’s State effectively — building a strong foundation for more complex agent architectures. Code Link: https://github.com/TheAILearner/LangGraph/blob/main/langgraph_states.ipynb #langgraph #langchain #aiagents #reactagent #graphai #llmengineering #langgraphtutorial #pythonai #pydantic #typeddict #llmframework #state #stateschema #coding #reducers
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