RAG with Edgenivo AI SDK

AI SDK RAG Template

A Next.js application, powered by the Edgenivo AI SDK, that uses retrieval-augmented generation (RAG) to reason and respond with information outside of the model's training data.

Features

• Information retrieval and addition through tool calls using the streamText function
• Real-time streaming of model responses to the frontend using the useChat hook
• Vector embedding storage with DrizzleORM and PostgreSQL
• Animated UI with Framer Motion

Getting Started

To get the project up and running, follow these steps:

1. Install dependencies:

   1
   npm install

2. Copy the example environment file:

   1
   cp .env.example .env

3. Add your Edgenivo AI Gateway API key and PostgreSQL connection string to the .env file:

   1
   AI_GATEWAY_API_KEY=your_api_key_here
   2
   DATABASE_URL=your_postgres_connection_string_here

4. Migrate the database schema:

   1
   npm run db:migrate

5. Start the development server:

   1
   npm run dev

Your project should now be running on http://localhost:3000.