pgvector Setup

Set up PostgreSQL with pgvector for storing and querying vector embeddings. This is the foundation for building RAG (Retrieval-Augmented Generation) applications.

When to Apply

Use this skill when:

• Setting up vector storage for embeddings
• Creating tables to store document embeddings
• Building semantic search functionality
• Implementing RAG pipelines with PostgreSQL
• Migrating from other vector databases to PostgreSQL

Prerequisites

pgvector must be available in your PostgreSQL instance. Use one of these Docker images: