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Supabase

Backend & Database · Freemium

Postgres, auth, storage, realtime, and vector extensions for app backends.

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pgvector

Vector Databases· github.com

Open source

Open-source PostgreSQL extension for vector similarity search, embeddings storage, and production RAG retrieval inside Postgres.

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An AI writing assistant built with Supabase, OpenAI, and Next.js as a public reference app for AI + Postgres workflows.

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# Building with Supabase

Postgres, auth, storage, realtime, and vector extensions for app backends.

**Category:** Backend & Database
**Directory listing:** https://tokensand.com/tools/backend-database/supabase
**Detected stack:** unknown
**Snippets derived from real docs:** no (fallback)

## Goal

I'm building a project with Supabase. Help me ship end-to-end in the smallest number of steps — hackathon speed, production-safe defaults. If any step below is ambiguous or the docs snippet is incomplete, ask me what I'm trying to build before writing code.

### Install
(No canonical install command detected — see docs links below.)

### First call
(No verified example detected — consult the official docs links before writing one.)

## Docs links
- [Official Docs](https://supabase.com/docs)
- [GitHub](https://github.com/supabase/supabase)
- [Website](https://supabase.com)


## Your task
1. Read the install and first-call blocks above. Write a minimal runnable starter in the detected stack (unknown).
2. Call out any secrets I'll need (API keys, env vars) and how to get them.
3. Suggest one "next step" that would make this project demo-worthy in 10 minutes.
4. Verify current official docs
…
Docs:Official DocsGitHubWebsite