Key strengths
Multimodal data curation and deduplicationUnified vector, full-text, and hybrid search with SQL filtersFeature engineering with Python UDFs and automatic updatesTraining directly from curated data with up to 70% MFUScalable vector search up to 10 billion vectors
Free tier + paid plans
Facts verified against lancedb.com on
Get alerts when LanceDB changes
Free. We'll email you when pricing, the free tier, API access or open-source status changes.
No ratings yet
Documentation & Developer Resources
LanceDB's technical capabilities are organized around the following core areas:
- Multimodal Data Curation & Deduplication — Ingest and clean multimodal datasets at scale, with built-in deduplication workflows.
- Unified Search — Execute vector, full-text, and hybrid search queries with SQL filters in a single interface, supporting indices up to 10 billion vectors.
- Feature Engineering — Define and apply Python UDFs (User-Defined Functions) against your data, with automatic updates as underlying data changes.
- Training Integration — Stream curated data directly into model training pipelines, achieving up to 70% MFU.
- Integrations — First-class connectors for DuckDB, LlamaIndex, CrewAI, Spark, and Hermes Agent enable LanceDB to slot into existing ML and data engineering stacks.
Alternatives
See all alternatives Alternatives to LanceDB
Is LanceDB yours? Claim the listing & get the badge