ai-sdk-preview-rag

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ai-sdk-preview-rag

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Retrieval-augmented generation (RAG) template powered by the AI SDK.

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# AI SDK RAG Template

[![Deploy with Vercel](https://vercel.com/button)](https://vercel.com/new/clone?repository-url=https%3A%2F%2Fgithub.com%2Fnicoalbanese%2Fai-sdk-rag-template&env=OPENAI_API_KEY&envDescription=You%20will%20need%20an%20OPENAI%20API%20Key.&project-name=ai-sdk-rag&repository-name=ai-sdk-rag&stores=%5B%7B%22type%22%3A%22postgres%22%7D%5D&skippable-integrations=1)

A [Next.js](https://nextjs.org/) application, powered by the Vercel 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`](https://ai-sdk.dev/docs/reference/ai-sdk-core/stream-text) function
- Real-time streaming of model responses to the frontend using the [`useChat`](https://ai-sdk.dev/docs/reference/ai-sdk-ui/use-chat) hook
- Vector embedding storage with [DrizzleORM](https://orm.drizzle.team/) and [PostgreSQL](https://www.postgresql.org/)
- Animated UI with [Framer Motion](https://www.framer.com/motion/)

## Getting Started

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

1. Install dependencies:

```bash
   npm install
   ```

2. Copy the example environment file:

```bash
   cp .env.example .env
   ```

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

```
   AI_GATEWAY_API_KEY=your_api_key_here
   DATABASE_URL=your_postgres_connection_string_here
   ```

4. Migrate the database schema:

```bash
   npm run db:migrate
   ```

5. Start the development server:
   ```bash
   npm run dev
   ```

Your project should now be running on [http://localhost:3000](http://localhost:3000).

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