LanceDB
An embedded vector database for storing, filtering, and retrieving chunks from application data.
Published by LanceDB
How to use it
Create a table with a vector field, stable text identifiers, and the columns you need to filter. Preserve pointers to the source rows when joining retrieval results back to a larger dataset.
Use a local LanceDB connection for an initial dataset and compare exact retrieval with an indexed configuration before choosing search settings. Full-text and hybrid retrieval are available through supported APIs.
- Compatibility
- Python, TypeScript, Rust
- Components
- Embedded vector store, Full-text search, Hybrid retrieval
- Access
- Local embedded database or managed service.