LanceDB
The multimodal lakehouse for AI — one table for everything.
LanceDB is an AI-native multimodal lakehouse that unifies raw data, embeddings, and features into a single table for model training and retrieval. It supports petabyte-to-exabyte scale workloads with capabilities including vector search, full-text search, feature engineering, and accelerated GPU training. Teams use it to replace fragmented data pipelines and iterate on training datasets faster without duplicating data or managing multiple systems.
LanceDB stores raw data, embeddings, and features in a single versioned table with built-in support for vector search, feature engineering pipelines, and direct high-throughput training reads at petabyte scale.
AI/ML engineers and data teams building large-scale model training pipelines
Background.
- Status
- launched
- Business model
- unknown
- Company
- LanceDB
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