agentdb vector search

SKILL.md

Implements vector-based semantic search using AgentDB's high-performance vector database with 150x-12,500x faster operations than traditional solutions. Features HNSW indexing, quantization, and sub-millisecond search (<100µs).

AgentDB provides multiple quantization strategies for memory efficiency:

Implement semantic vector search with AgentDB for intelligent document retrieval, similarity matching, and context-aware querying. Use when building RAG systems, semantic search engines, or intelligent knowledge bases. Source: ovachiever/droid-tings.

Open your terminal or command line tool (Terminal, iTerm, Windows Terminal, etc.) Copy and run this command: npx skills add https://github.com/ovachiever/droid-tings --skill agentdb vector search Once installed, the skill will be automatically configured in your AI coding environment and ready to use in Claude Code or Cursor

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