AgentDB Vector Search

AgentDB Vector Search provides an ultra-fast, local vector database capability for Claude Code, enabling intelligent document retrieval and semantic querying. It leverages HNSW indexing and multiple quantization strategies—Binary, Scalar, and Product—to deliver sub-millisecond search results even with datasets exceeding one million vectors. This skill is specifically designed for developers building Retrieval-Augmented Generation (RAG) pipelines and context-aware AI applications where efficiency, low latency, and memory optimization are critical requirements.

Key Features

Use Cases