Integrate shadcn/ui with Xata

The complete guide to connecting shadcn/ui and Xata in Next.js 15.

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shadcn/ui + Xata
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Pre-configured shadcn/ui & Xata SDKs.

Secure Webhook & API Handlers (with error logging).

Responsive UI Components styled with Tailwind (Dark).

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AI Architecture Guide

This Technical Blueprint outlines the integration between Next.js 15 (App Router) and the Vercel AI SDK v4.x (2026 Stable release). The architecture utilizes React 19's Server Actions and the 'ai' core library to provide end-to-end type safety, streaming LLM responses, and optimistic UI updates without the overhead of traditional API routes.

lib/integration.ts

1import { OpenAI } from 'openai';
2import { streamText } from 'ai';
3import { createAI } from 'ai/rsc';
4
5const openai = new OpenAI({ apiKey: process.env.OPENAI_API_KEY });
6
7export async function chatAction(formData: FormData) {
8  'use server';
9  const input = formData.get('message') as string;
10
11  const result = await streamText({
12    model: openai.chat('gpt-5-preview'),
13    messages: [{ role: 'user', content: input }],
14    experimental_telemetry: { isEnabled: true },
15  });
16
17  return result.toDataStreamResponse();
18}
19
20// Client Component
21'use client';
22import { useChat } from 'ai/react';
23
24export function ChatComponent() {
25  const { messages, input, handleInputChange, handleSubmit } = useChat({
26    api: '/api/chat', // or use action via useActionState
27  });
28  return (
29    <div>
30      {messages.map(m => <p key={m.id}>{m.content}</p>)}
31      <form onSubmit={handleSubmit}>
32        <input value={input} onChange={handleInputChange} />
33      </form>
34    </div>
35  );
36}

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