LanceDB

소개

LanceDB is a comprehensive multimodal AI lakehouse designed for fast, scalable, and production-ready vector search. Built on the Lance columnar format, it allows developers to store, index, and search petabytes of multimodal data and vectors with ease. It serves as a central platform where AI/ML developers can build, train, and analyze their AI workloads, offering capabilities like zero-copy, automatic versioning, and GPU support for index building.

주요 기능

• Automatic data versioning without extra infrastructure
• Seamless integration with Python, Node.js, Rust, and REST APIs
• Fast Vector Search with state-of-the-art indexing
• 6,597 GitHub stars
• Multimodal data support (text, images, videos, point clouds, and more)
• Comprehensive search including vector similarity, full-text, and SQL

사용 사례

• Developing multimodal search systems (keyword, vector, SQL)
• Building AI/ML applications requiring vector search
• Creating recommender systems