An open-source vector database (Embedding Database) designed specifically for AI applications, supporting multiple programming languages such as Python, JavaScript, and Rust. It offers easy-to-use APIs and various deployment modes (in-memory, file storage, server). It supports automatic vectorization based on embedding models, as well as operations like querying, filtering, and density estimation. Ideal for rapidly building semantic-based search and recommendation applications.