How To Build a Web UI for your AI App (Clean & Functional)

Video Description

Learn how to build a clean and functional NextJS frontend for your RAG/AI API. The AI app is a RAG (Retrieval Augmented Generation) app, built using Python and FastAPI, and hosted on AWS. The frontend will be using NextJS, TailwindCSS, and shadcn/ui components. The site will be fully static (free/cheap to host, without a dedicated server) and can generally be adapted to any kind of API backend. 👉 Links 🔗 Project: https://github.com/pixegami/deploy-rag-to-aws/tree/frontend-tutorial 🔗 Demo: https://rag.pixegami.io 🔗 API: https://api.rag.pixegami.io 🔗 UI Library: https://ui.shadcn.com 👉 Previous RAG Tutorials 💡 https://youtu.be/tcqEUSNCn8I 💡 https://youtu.be/2TJxpyO3ei4 💡 https://youtu.be/ldFONBo2CR0 📚 Chapters 00:00 - Introduction 02:43 - Architecture Overview 06:24 - Generate an API Client 09:32 - Implement "ViewQuery" Page 15:27 - Rendering Components 19:31 - Implement "SubmitQuery" Form 25:07 - Implement "QueryList" Component 28:26 - Final Layout