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
