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Takeaways

By the end of this module, you will be able to apply the necessary configuration steps to establish a functional RAG chatbot development environment by:
  • Cloning and setting up the Vercel AI SDK RAG Starter repository
  • Configuring PostgreSQL database in the cloud with Vercel
  • Setting up thedevelopment environment with proper tooling
  • Understanding the project structure

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Lessons

2.1 Repository Setup

Clone the starter repository and understand its structure and dependencies.

2.2 Database Setup

Configure PostgreSQL with pgvector extension and run database migrations.

2.3 Development Environment

Start the development server and explore the project structure.

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Prerequisites

Before starting this module, ensure you have the following tools installed:

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Key technologies used

Next.js 14

React framework with App Router for building the web application

PostgreSQL

Relational database with pgvector extension for vector storage

Drizzle ORM

Type-safe database ORM for TypeScript

Vercel AI SDK

Toolkit for building AI-powered applications

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Resources

Repository: https://github.com/vercel/ai-sdk-rag-starter