Guide to AI Apps with Vercel AI SDK & React

Building AI-powered applications has become more accessible with the advent of powerful tools and frameworks. This guide explores how to use the Vercel AI SDK alongside React Server Components to create robust and scalable AI applications. The architecture combines client-side React applications, server-side rendering with React Server Components, and AI integration with the Vercel AI SDK. The Vercel AI SDK provides real-time data processing and predictions, while React Server Components improve performance and SEO. To implement this architecture, you need to set up a new React project, install the necessary dependencies, and configure the Vercel AI SDK. You can then use the SDK to make predictions and integrate AI models into your application. React Server Components can be used to render components on the server, reducing the load on the client. To deploy your application, you can use Vercel, which provides a seamless deployment experience for React applications. With Vercel, you can connect to GitHub, configure environment variables, and deploy your application to a global edge network with a single click. By following this guide, you can build powerful AI applications that are both efficient and scalable.