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Interaction with NeonDB Postgres using Drizzle ORM.
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Basado en la clasificación ocupacional SOC
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Details of the RAG Chatbot, including UI and backend logic.
Knowledge of the Vercel deployment pipeline, hybrid build scripts, and environment configuration.
| name | Database & ORM |
| description | Interaction with NeonDB Postgres using Drizzle ORM. |
@neondatabase/serverlessThe database connection is initialized in db/index.ts.
import { neon } from '@neondatabase/serverless';
import { drizzle } from 'drizzle-orm/neon-http';
const sql = neon(process.env.DATABASE_URL!);
export const db = drizzle(sql);
Schema definitions are in db/schema.ts.
users, sessions, accounts, verifications: Auth tables.analyses, chatbot_history: App specific tables.Example of a database query:
import { db } from "@/db";
import { users } from "@/db/schema";
import { eq } from "drizzle-orm";
// Select
const user = await db.select().from(users).where(eq(users.email, "test@example.com"));
// Insert
await db.insert(users).values({ ... });
npx drizzle-kit generatenpx drizzle-kit push (or migrate script)