🔄 Mastering State in LangGraph with Conditionals | Dynamic Flow Control Tutorial

Title: 🔄 Mastering State in LangGraph with Conditionals | Dynamic Flow Control Tutorial

Description:
Learn how to harness the full power of state management in LangGraph—including how to implement conditionals to control flow dynamically. Whether you’re building complex AI agents or modular workflows, mastering state logic is crucial for clean, scalable graph design.

In this video, we’ll cover:
✅ What “state” means in LangGraph
✅ How to update and pass state between nodes
✅ Using conditionals to direct flow based on state
✅ Practical examples with if/else branches
✅ Tips for debugging conditional logic

📌 Perfect for: LangChain users, AI devs, and anyone working with stateful graph logic.

🛠 Tech stack covered:
LangGraph
LangChain
Python
OpenAI / LLMs
Agent-based architecture
📚 Resources:
LangGraph Docs: https://docs.langchain.com/langgraph/
LangChain Docs: https://docs.langchain.com/


📅 Chapters: 0:00 - Introduction
01:16 - Workflow Review
02:07 - Create Summary Schema
02:28 - Create additional nodes
05:58 - Creating Router Function
07:43 - Adding additional nodes to the workflow
08:18 - Creating new edges

💬 Got questions or stuck on a concept? Drop a comment below.
LangGraph tutorials.

#LangGraph #LangChain #StateManagement #PythonAI #ConditionalLogic #GraphFlow
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