LanceDB Blog: The Multimodal Lakehouse for AI
Articles about LanceDB Blog: The Multimodal Lakehouse for AI
🤖 LeRobot Trains on Lance, 🦾 Mining Robot Fleet Data Demo, 🔍 Vector Search at 10B Scale
LeRobot trains directly from Lance datasets in object storage, a hybrid scan mines robot fleet data for edge cases, and distributed search reaches 1,066 QPS across 10B vectors, plus upcoming events, enterprise updates, and community contributions.
How Jev Compares to Other Rerankers
See how Jev performs in a benchmark of 19 reranker configurations across five datasets, covering accuracy, latency, and prompt-driven relevance for LanceDB search.
Giving Back to the Open Source We Build On
LanceDB adds ASOF join support to Apache DataFusion, improving time-series joins while giving back to the open source projects we rely on.
From 10 Million to 10 Billion: Vector Search Built to Grow
LanceDB lets you tune search precision at query time, balance memory and disk caching, and keep new data searchable as your table grows.
A Practical LLM Pretraining Pipeline with LanceDB
Training a GPT-2-like model from raw text in 25 minutes with LanceDB, using one table for curation, tokenization, shuffling, packing, training, and analysis.