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-exampleyarn create next-app --example https://github.com/vercel-labs/ai-sdk-preview-internal-knowledge-base ai-sdk-preview-internal-knowledge-base-examplepnpm create next-app --example https://github.com/vercel-labs/ai-sdk-preview-internal-knowledge-base ai-sdk-preview-internal-knowledge-base-exampleTo run the example locally you need to:
- Sign up for accounts with the AI providers you want to use (e.g., OpenAI, Anthropic).
- Obtain API keys for each provider.
- Set the required environment variables as shown in the
.env.examplefile, but in a new file called.env. npm installto install the required dependencies.npm run devto launch the development server.
To learn more about the AI SDK or Next.js by Vercel, take a look at the following resources: