LangChain
Sanity

Integrate LangChain with Sanity

The complete guide to connecting LangChain and Sanity in Next.js 15.

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Technical Proof & Alternatives

Verified open-source examples and architecture guides for this stack.

AI Architecture Guide

Technical Blueprint for integrating a Next.js 15 (App Router) frontend with a distributed backend service utilizing React 19's Server Actions and the 'use cache' directive for optimized data fetching. This architecture focuses on type-safe environment configuration and edge-compatible connection pooling.

lib/integration.ts
1import { Client } from 'enterprise-sdk-v4'; // 2026 Stable Release
2import 'server-only';
3
4// Type-safe singleton for connection pooling
5const globalForClient = global as unknown as { client: Client };
6
7export const db = globalForClient.client ?? new Client({
8  connectionString: process.env.DATABASE_URL,
9  maxConnections: 20,
10  idleTimeoutMillis: 30000,
11});
12
13if (process.env.NODE_ENV !== 'production') globalForClient.client = db;
14
15export async function fetchData(id: string) {
16  'use cache';
17  const result = await db.query('SELECT * FROM resources WHERE id = $1', [id]);
18  return result.rows[0];
19}
20
21export async function updateResource(formData: FormData) {
22  'use server';
23  const id = formData.get('id') as string;
24  await db.execute('UPDATE resources SET updated_at = NOW() WHERE id = $1', [id]);
25  // Next.js 15 internal cache invalidation
26  revalidatePath('/dashboard');
27}
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