@ruvector/cli

Manage RuVector vector databases via npx command-line operations.

1|Updated Feb 8, 2026
One-click install
npx skills add https://github.com/ricable/cli-skills-builder --skill ruvector-cli
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: @ruvector/cli
Source: https://github.com/ricable/cli-skills-builder/tree/main/.claude/skills/ruvector-cli
Command: npx skills add https://github.com/ricable/cli-skills-builder --skill ruvector-cli

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill provides a command-line interface for managing the RuVector vector database, enabling efficient vector operations, index management, and AI-driven task routing.

Core Features & Use Cases

  • Vector Database Management: Initialize, insert, search, delete, and manage vector data.
  • HNSW Indexing: Build, optimize, and manage HNSW indexes for fast search.
  • Self-Learning Hooks: Integrate AI-driven learning for task routing and performance improvement.
  • Agent Routing: Intelligently route tasks to appropriate agents.
  • Benchmarking: Measure performance of insert, search, and HNSW operations.

Quick Start

Use the @ruvector/cli skill to initialize a new vector database with 384 dimensions.

Frequently Asked Questions about @ruvector/cli

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

FAQPage Schema
How do I manage a vector database from the command line?▼

You can manage a vector database directly from the command line using npx commands to initialize storage, insert vectors, and perform searches without needing a separate server application.

How do I build and optimize an HNSW index for vector search?▼

Building an HNSW index involves using specific terminal commands to construct and tune the graph parameters, ensuring fast approximate nearest neighbor search for your vector dataset.

Can I use AI agent routing to optimize task performance?▼

Yes, you can use AI agent routing to intelligently direct tasks to appropriate agents, leveraging self-learning hooks to continuously optimize task routing and overall performance.

What is the best way to benchmark vector insertion and search operations?▼

Benchmarking vector operations involves running built-in terminal commands that measure and report the performance metrics of insert, search, and HNSW index building processes.

Do I need any external dependencies to use the RuVector CLI?▼

No external dependencies are required to use the RuVector CLI, as it operates directly via npx commands in your terminal for immediate vector database management and interaction.