LanceDB
Provides a developer-friendly, embedded retrieval engine for multimodal AI, enabling efficient search and data management.
About
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.
Key Features
- 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
Use Cases
- Developing multimodal search systems (keyword, vector, SQL)
- Building AI/ML applications requiring vector search
- Creating recommender systems
Sponsored