Building a Web UI for RAG/AI Apps with NextJS and TailwindCSS

Overview

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Build a clean and functional NextJS frontend for a RAG (Retrieval Augmented Generation) AI app using Python, FastAPI, TailwindCSS, and shadcn/ui components. Learn to create a fully static site that can be adapted to any API backend, with step-by-step guidance on architecture overview, API client generation, implementing various pages and components, and finalizing the layout. Gain insights into connecting the frontend with a Python and FastAPI backend hosted on AWS, and explore how to create an efficient user interface for AI applications.

Syllabus

- Introduction
- Architecture Overview
- Generate an API Client
- Implement "ViewQuery" Page
- Rendering Components
- Implement "SubmitQuery" Form
- Implement "QueryList" Component
- Final Layout