Jan 16
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LangGraph is redefining how we build AI agents. In this video, you will learn how to build a simple chatbot using LangGraph, powered by LangChain and the Groq free API for ultra-fast LLM inference. *This tutorial demonstrates a clean, minimal chatbot architecture using:* - *LangGraph with a single LLM node* - *MessagesState for managing conversation history* - *LangChain for LLM integration* - *Groq’s free API for high-speed responses* You will see how graph-based execution works in practice and how LangGraph simplifies state management for conversational AI systems. This approach is ideal if you are getting started with AI agents, LLM workflows, or agentic AI systems. *Connect with me* *LinkedIn:* https://www.linkedin.com/in/felix-ibeamaka/ *X:* https://x.com/Electronics__ *Facebook:* https://www.facebook.com/felixibeamaka/ *Instagram:* https://www.instagram.com/electroni6_247/ *TikTok:* https://www.tiktok.com/@UClF6nEUxzBRYcd8vjQOenyA *Join My WhatsApp Group:* https://chat.whatsapp.com/C9mZeTCLiNQAe4yxCTmVy4 https://youtu.be/PXiYJLBOpKc