@ruvector/postgres-cli

Manage PostgreSQL instances with RuVector for AI vector operations.

1|Updated Feb 8, 2026

Search Tags:#postgresql #cli #ai #vector database #data management #pgvector

Ready to run

npx skills add https://github.com/ricable/cli-skills-builder --skill ruvector-postgres-cli

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: @ruvector/postgres-cli
Source: https://github.com/ricable/cli-skills-builder/tree/main/.claude/skills/ruvector-postgres-cli
Command: npx skills add https://github.com/ricable/cli-skills-builder --skill ruvector-postgres-cli

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill simplifies the management and querying of AI vector data within PostgreSQL, offering advanced capabilities beyond standard pgvector.

Core Features & Use Cases

Vector Operations: Easily insert, search, index, and manage dense and sparse vectors.
Advanced AI Features: Supports hyperbolic geometry, GNNs, attention mechanisms, and agent routing.
Infrastructure Management: Install, start, stop, and manage the PostgreSQL instance and RuVector extension.
Use Case: You need to set up a PostgreSQL database for a new AI application, install the RuVector extension, create a vector index for efficient similarity search, and then perform a search query.

Quick Start

Install the RuVector PostgreSQL extension and then connect to psql.

Frequently Asked Questions about @ruvector/postgres-cli

High-intent search queries and answers about installing and using this skill.

FAQPage Schema

How do I manage a PostgreSQL vector database for AI applications?▼

You can manage a PostgreSQL vector database by installing the RuVector extension to handle vector operations, create indexes, and execute similarity searches for AI workloads.

Can I perform hyperbolic and graph-based vector queries in PostgreSQL?▼

Yes, PostgreSQL supports hyperbolic and graph-based vector queries when using the RuVector extension for advanced AI operations.

Does RuVector support GNNs and attention mechanisms in PostgreSQL?▼

Yes, RuVector supports GNNs, attention mechanisms, and agent routing within PostgreSQL to facilitate advanced AI vector database operations.

How do I install and start a PostgreSQL instance with vector capabilities?▼

You can install and start a PostgreSQL instance with vector capabilities by installing the RuVector extension and then connecting via psql.

What is the best way to benchmark PostgreSQL vector search capabilities?▼

You can benchmark PostgreSQL vector search capabilities by using RuVector extension features to facilitate installation, management, and benchmarking of vector operations.

Does pgvector support sparse vectors and advanced AI features?▼

While standard pgvector handles basic vectors, the RuVector extension enables PostgreSQL to support sparse vectors, hyperbolic geometry, and GNNs for advanced AI tasks.