AgentDB Vector Search

This implements semantic search using AgentDB's vector database, which claims 150x to 12,500x faster operations than traditional solutions with sub-100 microsecond queries. You get HNSW indexing, binary quantization for 32x memory reduction, and built-in support for OpenAI embeddings or custom models. The CLI tools are genuinely useful for quick database init, querying, and import/export without writing code. Use it for RAG systems where you need to retrieve relevant context before generating answers, or any search that needs to understand meaning rather than just match keywords. The hybrid search combining vector similarity with metadata filters is the standout feature here, letting you constrain semantic results by date, category, or other structured data.

GitHub stars: 240
last updated: Jun 11, 2026

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Install

$ npx -y skills add spencermarx/open-code-review --skill 'AgentDB Vector Search' --agent claude-code

Installs into .claude/skills of the current project.

Files

AgentDB Vector Search

What This Skill Does

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).

Prerequisites

Node.js 18+
AgentDB v1.0.7+ (via agentic-flow or standalone)
OpenAI API key (for embeddings) or custom embedding model

Quick Start with CLI

Initialize Vector Database

# Initialize with default dimensions (1536 for OpenAI ada-002)
npx agentdb@latest init ./vectors.db

# Custom dimensions for different embedding models
npx agentdb@latest init ./vectors.db --dimension 768  # sentence-transformers
npx agentdb@latest init ./vectors.db --dimension 384  # all-MiniLM-L6-v2

# Use preset configurations
npx agentdb@latest init ./vectors.db --preset small   # <10K vectors
npx agentdb@latest init ./vectors.db --preset medium  # 10K-100K vectors
npx agentdb@latest init ./vectors.db --preset large   # >100K vectors

# In-memory database for testing
npx agentdb@latest init ./vectors.db --in-memory