VectorDB provides a minimal, fully local end-to-end solution for text embedding and retrieval. It chunks long text automatically, stores content with associated metadata, and enables semantic search using vector distances. The library is used in production to power AI features in Kagi Search, and supports configurable chunking strategies and embedding modes.