GrepAI Storage with PostgreSQL

This skill covers using PostgreSQL with the pgvector extension as the storage backend for GrepAI.

When to Use This Skill

• Team environments with shared index
• Large codebases (10K+ files)
• Need concurrent access
• Integration with existing PostgreSQL infrastructure

Prerequisites

1. PostgreSQL 14+ with pgvector extension
2. Database user with create table permissions
3. Network access to PostgreSQL server

Advantages