Construire des applications IA avec Next.js en 2026

Why Next.js for AI?

Next.js provides the perfect foundation for AI apps: server-side rendering for SEO, API routes for backend logic, and streaming support for real-time responses.

Setting Up

• Install the Vercel AI SDK: `npm install ai @ai-sdk/openai`
• Create an API route at `app/api/chat/route.ts`
• Use the `streamText` helper for real-time token streaming.

Core Patterns

### Streaming Chat

Use the `useChat` hook on the client side. It handles streaming, message state, and abort automatically.

### RAG Integration

• Store documents in a vector database (Pinecone, Qdrant, or pgvector).
• On user query, retrieve relevant chunks.
• Include chunks in the system prompt as context.

### Image Generation

• Use DALL-E or Stable Diffusion APIs.
• Display loading states with optimistic UI updates.

Performance Tips

• Edge Runtime: Deploy API routes to the edge for lower latency.
• Caching: Cache embeddings and common responses.
• Batching: Group multiple API calls when possible.

Deployment

• Deploy on Vercel for automatic edge deployment.
• Use environment variables for API keys.
• Set up rate limiting to control costs.