Build a Real-World Multi-Agent AI System using LangGraph | Multi-Agent AI + Memory + APIs

Description

In this video, we will build a complete Real-World Multi-Agent AI System using LangGraph 🚀 GitHub: https://github.com/codewithaarohi/AI-Travel-Planning-System-using-LangGraph We are going to create an AI Travel Planning System that uses 4 specialized AI agents: ✈️ Flight Agent 🏨 Hotel Agent 🗓️ Itinerary Agent 🤖 Final Response Agent Each AI agent performs its own task, and together they work as one intelligent system. In this project, we will: ✅ Build a Multi-Agent AI Application using LangGraph ✅ Use Llama 3.3 70B with Groq ✅ Add Memory using PostgreSQL ✅ Fetch Real-time Flight Data using AviationStack API ✅ Search Hotels using Tavily Search API ✅ Create a complete AI Travel Planner ✅ Learn Agentic AI Architecture Step by Step Tech Stack Used: LangGraph Groq Llama 3.3 70B PostgreSQL Tavily Search API AviationStack API Streamlit This tutorial is beginner-friendly and everything is explained step by step. If you enjoy AI, LangGraph, Agentic AI, Multi-Agent Systems, and Generative AI projects, then make sure to Subscribe ❤️ 📸 Follow me on Instagram: @codewithaarohihindi 🔗 https://instagram.com/codewithaarohihindi 📧 You can also reach me at: aarohisingla1987@gmail.com