Building a Web UI for RAG/AI Apps with NextJS and TailwindCSS
Offered By: pixegami via YouTube
Course Description
Overview
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
Taught by
pixegami
Related Courses
Pinecone Vercel Starter Template and RAG - Live Code Review Part 2Pinecone via YouTube Will LLMs Kill Search? The Future of Information Retrieval
Aleksa Gordić - The AI Epiphany via YouTube RAG But Better: Rerankers with Cohere AI - Improving Retrieval Pipelines
James Briggs via YouTube Advanced RAG - Contextual Compressors and Filters - Lecture 4
Sam Witteveen via YouTube LangChain Multi-Query Retriever for RAG - Advanced Technique for Broader Vector Space Search
James Briggs via YouTube