Vector Embeddings & AI in Supabase
From the Supabase cheat sheet · Advanced Features · verified Jul 2026
Vector Embeddings & AI
Work with vector embeddings for AI applications
typescript
// Enable pgvector extension
CREATE EXTENSION IF NOT EXISTS vector;
// Create table with embeddings
CREATE TABLE documents (
id serial PRIMARY KEY,
content text,
embedding vector(1536)
);
// Store embedding
const { data, error } = await supabase
.from('documents')
.insert({
content: 'Document text',
embedding: vectorArray
})🤖 Built-in vector database with pgvector
🔍 Semantic search capabilities
🎯 Perfect for RAG and AI applications
⚡ High-performance similarity search