Building an AI-Powered RAG Search Application with Next.js and OpenAI
rag•Jan 27, 2026

Building an AI-Powered RAG Search Application with Next.js and OpenAI

In this tutorial, you'll learn how to build a complete RAG search application from scratch. Your application will allow users to upload documents, store them securely, and search through them using AI-powered semantic search.

freecodecamp

freecodecamp

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Key summary

Learn how to build a complete RAG search application from scratch using Next.js, Supabase, and OpenAI. This tutorial covers setting up a Next.js application, configuring Supabase for database and file storage, and integrating OpenAI embeddings and chat completions.

TL;DR

  • Build a complete RAG search application from scratch
  • Use Next.js, Supabase, and OpenAI for AI-powered search
  • Upload and store documents securely
  • Perform semantic search across document chunks
  • Generate AI-powered answers based on document content
  • Deploy a production-ready solution
  • Use embeddings and vector database for efficient search
  • Implement RAG search with accuracy, transparency, and efficiency
#rag
#ai
#supabase
#openai
#handbook

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