Advanced45 min readMay 20, 2025

Build a RAG Pipeline with Next.js and pgvector

A complete walkthrough of building a production-ready retrieval-augmented generation system using Next.js, OpenAI embeddings, and pgvector.

RAG Next.js pgvector OpenAI

Overview

This tutorial walks you through Build a RAG Pipeline with Next.js and pgvector. You will build a complete, production-ready implementation from scratch.

Prerequisites

Before starting this tutorial, you should be familiar with:

RAG fundamentals
Next.js fundamentals
pgvector fundamentals

Implementation

Step 1: Setup

Start by initializing your project and installing the required dependencies.

bash

2 lines

1npm init -y
2npm install rag-next.js

Step 2: Core Logic

Implement the core functionality. The key is to keep each component focused and testable.

typescript

5 lines

1// core.ts
2export async function main() {
3  // Your implementation here
4  console.log("Build a RAG Pipeline with Next.js and pgvector — complete!")
5}

Step 3: Testing

Validate your implementation with a basic test suite.

Summary

You have now completed the Build a RAG Pipeline with Next.js and pgvector tutorial. The full source code is available in the companion repository.