lancedb
An open-source embedded retrieval library for multimodal AI, offering fast vector search, SQL, and full-text search.
What is lancedb?
LanceDB is an open-source embedded retrieval library for multimodal AI, designed as a multimodal AI lakehouse. It provides fast, scalable vector search capabilities, allowing developers to store, index, and query petabytes of multimodal data and vectors. It solves the problem of managing and retrieving large-scale AI data efficiently.
AI/ML developers, data engineers, and researchers building production-ready AI applications that require efficient storage and retrieval of multimodal data and vectors.
Developers choose LanceDB for its fast vector search, multimodal support, seamless integration with popular AI frameworks, and the ability to run locally or in the cloud without vendor lock-in.
Overview
Developer-friendly OSS embedded retrieval library for multimodal AI. Search More; Manage Less.
Use Cases
Best For
- Building AI applications that require fast vector similarity search over billions of vectors
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