This template demonstrates the usage of the Language Model Middleware to perform retrieval augmented generation and enforce guardrails using the AI SDK and Next.js.

Run create-next-app with npm, Yarn, or pnpm to bootstrap the example:

npx create-next-app --example https://github.com/vercel-labs/ai-sdk-preview-internal-knowledge-base ai-sdk-preview-internal-knowledge-base-example

yarn create next-app --example https://github.com/vercel-labs/ai-sdk-preview-internal-knowledge-base ai-sdk-preview-internal-knowledge-base-example

pnpm create next-app --example https://github.com/vercel-labs/ai-sdk-preview-internal-knowledge-base ai-sdk-preview-internal-knowledge-base-example

To run the example locally you need to:

1. Sign up for accounts with the AI providers you want to use (e.g., OpenAI, Anthropic).
2. Obtain API keys for each provider.
3. Set the required environment variables as shown in the .env.example file, but in a new file called .env.
4. npm install to install the required dependencies.
5. npm run dev to launch the development server.

To learn more about the AI SDK or Next.js by Vercel, take a look at the following resources:

• AI SDK Documentation
• Next.js Documentation