# Supabase Vector

> Managed serverless Postgres with pgvector for vector similarity search, featuring real-time subscriptions, Edge Functions, auto-HNSW indexing, serverless scaling, and RLS for multi-tenant isolation. Built for full-stack AI apps with auth, storage, and realtime. Postgres SQL + vectors outperforms dedicated DBs in integrated app development and cost for RAG/multi-tenant use cases.

- **URL:** https://supabase.com/vector
- **Category:** Cloud Managed Postgres Vectors
- **Tags:** Commercial, Open Source, Postgresql, Managed Postgres, Realtime, Serverless, Pgvector Based, Managed Postgres Vector, Serverless Sql, Rls Multi Tenant
- **Updated:** 2026-04-29 11:31
- **Canonical page:** https://vectordb.ever.works/nl/items/supabase-vector

## Details

## Overview

Supabase provides an open-source toolkit for developing AI applications using Postgres and pgvector. Vectors are enabled via pgvector, a Postgres extension for storing and querying vectors at scale.

## Key Features

- **pgvector Integration**: Native vector storage and similarity search in Postgres
- **vecs Python Client**: Purpose-built for vector operations
- **Serverless Scaling**: Auto-scaling compute
- **Real-time Subscriptions**: Live query updates
- **Row Level Security (RLS)**: Multi-tenant support
- **Edge Functions**: Serverless JS/TS compute
- **Auto-indexing**: HNSW indexes

## Use Cases

- Multi-tenant AI apps with auth and realtime
- Full-stack RAG applications
- Semantic search with SQL filtering
- Chatbots and recommendation systems

## Comparisons

**vs Dedicated Vector DBs:**

| Aspect | Supabase + pgvector | Dedicated Vector DBs |
|--------|---------------------|----------------------|
| SQL Power | Full Postgres | Limited |
| Realtime | Native subs | Add-ons/polling |
| Multi-Tenant | RLS built-in | Custom impl |
| Full-Stack | Auth/storage incl. | DB only |

## Pricing

- **Free Tier**: Generous for dev
- **Pro**: $25/month + usage
- **Team/Enterprise**: Higher tiers
Self-hosting free.

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