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In this video, I’ll walk you through how to build a fully agentic AI Travel Planner using LangGraph, OpenAI, and SingleStore — all in under 10 minutes. You’ll learn how to design a workflow where multiple agents work together: fetching live weather, generating hotel and flight recommendations, calling real-time APIs, caching results in SingleStore, and producing a complete travel itinerary. This tutorial is beginner-friendly yet powerful enough for developers who want to build real-world agentic applications. Find the complete GitHub repo here: https://github.com/pavanbelagatti/Agentic-AI-Travel-Agent We’ll cover setting up the environment, connecting to SingleStore, building the LangGraph workflow, and running the app end-to-end. By the end, you’ll have a working AI travel assistant that feels like a smart, personalized planner — and you’ll understand exactly how agentic systems operate behind the scenes. Don’t forget to like, share, and subscribe for more GenAI tutorials!