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In this video, you’ll learn how to build a fully functional AI Chatbot using LangGraph step-by-step! 🚀 We’ll create a multi-turn conversational agent that understands user queries, remembers chat history, and responds intelligently — all using LangGraph and LangChain. This tutorial is part of the Agentic AI Bootcamp, where we go from basic LLM concepts to building agentic workflows using Groq, OpenAI, and LangGraph. 💡 What You’ll Learn ✅ How to use LangGraph to structure chatbot logic ✅ Adding conversation history and memory ✅ Integrating LangChain chat models (Groq / OpenAI) ✅ Creating nodes and connecting them as a workflow ✅ Handling user input dynamically with graph states ⚙️ Key Concepts Covered LangGraph Basics Building Chatbot Nodes (Prompt + Response) Managing State and History Connecting Graph Edges Running & Visualizing the Chatbot Flow 🧰 Tech Stack LangGraph LangChain Core Groq API / OpenAI API Python (Jupyter Notebook) 📌 GitHub Repository (Code + Notes): 👉 https://github.com/dearnidhi/Agentic-AI-HandsOn-Bootcamp 📩 Connect with Me: ✉️ Email: nidhiyachouhan12@gmail.com 📸 Instagram: @dear_nidhi | @codenidhi 💼 LinkedIn: https://www.linkedin.com/in/nidhi-chouhan-544650b4/ ✨ Don’t forget to LIKE 👍, SHARE 📢 & SUBSCRIBE 🔔 for more LangGraph + LangChain tutorials! LangGraph Chatbot, Build Chatbot with LangGraph, LangChain Chatbot Tutorial, LangGraph Tutorial, LangGraph LangChain Example, Groq Chatbot, OpenAI Chatbot LangGraph, LangGraph Workflow Example, Agentic AI Bootcamp, LangGraph Memory, LangChain Agents, LangGraph for Beginners, Chatbot using LangGraph and Groq, LangGraph State Management, CodeNidhi LangGraph, Nidhi Chouhan AI, LangGraph Agent Tutorial, Build AI Chatbot Python #LangGraph #Chatbot #LangChain #AgenticAI #AIChatbot #Groq #OpenAI #LLM #ArtificialIntelligence #MachineLearning #Python #LangGraphTutorial #CodeNidhi #NidhiChouhan #GenAI #LangGraphWorkflow