Building a Multi-Agent AI System: How to Use Multiple Agents in LangGraph!

In this video, I’ll walk you through how to build a Multi-Agent AI System using LangGraph. 📥 Download the complete source code: 🔗 GitHub: https://github.com/codewithaarohi/Generative_AI/blob/main/multi_agents_langgraph.ipynb 🌐 Website: https://codewithaarohi.ai/downloads/generative_ai/ Both links contain the exact code used in this tutorial. Email - aarohisingla1987@gmail.com 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. 🔔 Subscribe for More AI Tutorials! 👍 Like & Share if you found this helpful!