LanceDB
lancedb.comThe multimodal lakehouse for AI — one table for everything.
Data & Analyticsvector-databasemultimodalmachine-learningtraining-dataembeddingsdata-lakehouseai-infrastructure
About
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.
Problem
Model development takes too long because training data is scattered across multiple disconnected systems, slowing iteration and degrading GPU utilization.
For
AI/ML engineers and data teams building large-scale model training pipelines
How it works
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.
Business model
unknown
Status
launched
Company
LanceDB