Build Chatbot using Deepseek R1 and LangGraph | Local AI Chatbot with Ollama

Want to build your own AI chatbot using DeepSeek R1 and LangGraph? In this step-by-step tutorial, I’ll show you how to set up and run a local AI chatbot by downloading the DeepSeek R1 model using Ollama, and then integrating it with LangGraph to create a fully functional conversational AI—without relying on the cloud! 📌 Code & Resources: 🔗 GitHub: https://github.com/codewithaarohi/Generative_AI/tree/main/L-16 🌐 Website: https://codewithaarohi.ai/downloads/generative_ai/ (Both contain the exact code used in this tutorial.) 📧 Email: aarohisingla1987@gmail.com 👍 If you found this helpful, don’t forget to like, share, and subscribe for more AI tutorials! 💬 Have any questions? Drop them in the comments below! 🔹 What You Will Learn ✅ How to download and use DeepSeek R1 locally using Ollama ✅ How to build a chatbot using LangGraph ✅ Creating conversational workflows using nodes, edges & state machines ✅ Running a local AI chatbot — fast, private, and offline 🔹 Tools & Libraries Used DeepSeek R1 (open-source LLM) LangGraph (agent framework) Ollama (model download & local LLM runtime) Python