In this video, I’ll walk you through how to build a Multi-Agent AI System using LangGraph.
💡 GitHub: https://github.com/AarohiSingla/Generative_AI/blob/main/multi_agents_langgraph.ipynb
We’ll explore how multiple agents can work together efficiently, passing tasks between specialized agents such as:
✅ Reception Agent – Routes tasks to the right agent
✅ Research Agent – Handles general inquiries
✅ Math Agent – Solves mathematical problems
✅ Billing Agent – Manages payment-related queries
✅ Support Agent – Provides customer assistance
You’ll learn:
🔹 Why using multiple agents improves AI performance
🔹 How agents communicate through handoffs
🔹 How to structure an AI system for scalability & efficiency
🔹 How to implement dynamic decision-making with LangGraph
By the end of this tutorial, you’ll be able to design and implement your own multi-agent workflow for various AI applications like chatbots, automation tools, and decision-making systems.
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