Client-Side & InstantDrizzle ORM · drizzle-zodpgvector HNSW & FTS

Drizzle Schema & Zod Builder

Turn JSON payloads or SQL CREATE TABLE statements into Neon and Supabase compatible Drizzle pgTable schemas, pgvector HNSW indexes and drizzle-zod validators.

Drizzle ORM & pgvector Schema Design Guide

In Next.js 16 and Serverless Postgres (Neon, Supabase) apps, Drizzle ORM, drizzle-zod and pgvector keep type safety intact from the database to your API layer. This tool generates production-ready schemas from JSON or SQL in seconds.

Why Drizzle ORM and drizzle-zod?

A Drizzle schema lives as plain TypeScript and gives you $inferSelect and $inferInsert without an extra codegen step. drizzle-zod derives validation schemas for your Route Handlers and Server Actions from the exact same table definition.

Hybrid indexing with pgvector HNSW and FTS

In RAG applications, dense vector search alone (vector_cosine_ops) can miss exact product codes or domain terms. Adding both an HNSW vector index and a tsvector GIN index lets you run hybrid RRF search. Pair this with AI SQL & Postgres Optimizer and AI RAG Eval & Hybrid Search Tester.

End-to-end API type safety

Combine your generated insertSchema and selectSchema definitions with JSON to TypeScript & Zod and API Mock & Schema Studio for full-stack validation.

Frequently Asked Questions (FAQ)

It parses both sample JSON objects (or arrays of objects) and standard PostgreSQL CREATE TABLE SQL statements into type-safe Drizzle ORM pgTable definitions.
Enabling the pgvector and tsvector FTS toggles adds vector(1536), HNSW (vector_cosine_ops) and GIN index definitions to schema.ts and the corresponding migration SQL.
createInsertSchema and createSelectSchema derive Zod validation schemas directly from your table definition, giving you a single source of truth for API Route Handlers and Server Actions.
No. The generator runs 100% client-side in your browser; your JSON payloads and SQL schemas never leave your device.