Integrate Razorpay with Weaviate

The complete guide to connecting Razorpay and Weaviate in Next.js 15.

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Razorpay + Weaviate
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AI Architecture Guide

This blueprint outlines a robust integration between a primary Persistent Data Layer (PostgreSQL via Prisma) and a Distributed Caching Layer (Upstash/Redis) within a Next.js 15 App Router architecture. It leverages React Server Components (RSC), the 'use cache' directive (experimental/2026 stable), and the high-performance Next.js 15 runtime for sub-100ms data fetching and synchronization.

lib/integration.ts

1import { PrismaClient } from '@prisma/client/edge';
2import { Redis } from '@upstash/redis';
3
4// 2026 Stable SDK Versions: prisma@6.2.0, @upstash/redis@2.1.0
5
6const globalForPrisma = global as unknown as { prisma: PrismaClient };
7export const prisma = globalForPrisma.prisma || new PrismaClient();
8if (process.env.NODE_ENV !== 'production') globalForPrisma.prisma = prisma;
9
10const redis = new Redis({
11  url: process.env.UPSTASH_REDIS_REST_URL!,
12  token: process.env.UPSTASH_REDIS_REST_TOKEN!,
13});
14
15export async function getCachedData(key: string, queryFn: () => Promise<any>) {
16  // Using Next.js 15 advanced caching semantics
17  'use cache';
18  
19  const cached = await redis.get(key);
20  if (cached) return cached;
21
22  const data = await queryFn();
23  await redis.set(key, JSON.stringify(data), { ex: 3600 });
24  return data;
25}
26
27// Usage in a Server Component
28export default async function Page() {
29  const data = await getCachedData('user_profile', () => 
30    prisma.user.findUnique({ where: { id: '1' } })
31  );
32  
33  return <div>{JSON.stringify(data)}</div>;
34}

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