Vectors and the data they came from\, together.
LanceDB stores embeddings alongside the original images\, video and text in a single columnar format — so retrieval returns the actual asset rather than an ID you then look up elsewhere.
For multimodal AI that removes an entire class of plumbing: no separate blob store to keep in sync. It is open source and embeddable with no server to run for local work. Its cloud pricing page served no details when this was written.
Quick Information
Platform
Web
Pricing
Free open source + managed cloud
API
Available
Category
Analytics
Pros and Cons
Pros
- Stores vectors with source data
- Embeddable with no server for local use
- Open source and free
- Built for multimodal workloads
- Efficient columnar format
Cons
- Cloud pricing not published
- Smaller ecosystem than established stores
- Lance format is less familiar
- Fewer managed features