# LanceDB

> Store, search, and prepare multimodal data for AI applications

LanceDB is a multimodal data platform for teams building AI applications and training models. Built on the open-source Lance format, it keeps raw data, metadata, embeddings, and derived features together in versioned tables. Developers can combine vector, full-text, and hybrid search to retrieve relevant information, then filter, sample, or deduplicate records for downstream workflows. The embedded edition runs inside an application without a separate database server, while the enterprise service adds distributed infrastructure for larger workloads. Teams can use the same data layer for retrieval, feature engineering, and loading training examples into PyTorch, reducing the need to move datasets between separate systems.

## Listing details

- Canonical BetaNeon page: https://betaneon.com/products/lancedb
- Official website: https://www.lancedb.com/
- Category: Developer tools / Databases & database tools
- Status: Launched
- Topics: Databases, Machine learning, Multimodal search, Open source, Vector search
- Listed: 2026-11-10T12:04:53.914Z
- Content updated: 2026-11-10T12:04:53.965Z
- Official source: https://www.lancedb.com/
This is a product introduction, not an endorsement. Confirm current availability, features, and prices on the official website. Community upvotes on BetaNeon are not star ratings.