Petabyte-scale AI starts here

"LanceDB gives us effortless, truly isolated vector stores per user and per test, which keeps our memory engine simple to operate and fast to iterate."

"With support for Windows ARM, LanceDB is the only VectorDB with seamless experience across platforms and able to run fully on CoPilot AI PCs - something no other vector databases can do at this time. This only affirmed our choice that LanceDB is the best VectorDB provider for on-device AI with AnythingLLM."

“Lance has helped us streamline our data analysis process, allowing us to quickly and efficiently identify valuable data to enhance our autonomous driving technology.”

Lance format is one of the best storage formats out there, heavily optimized for both scan and random access performance… making Lance a perfect fit for building a cloud-native vector store.

A tour of Lance's file path design, and how Lance’s new multi-base layout enables multi-location datasets (such as Uber’s multi-bucket setup) with minimal metadata rewrites.

Explore a fully serverless solution for your Retrieval Augmented Generation (RAG) applications on AWS backed by Amazon Lambda, Amazon Bedrock, Amazon S3, and LanceDB.

"By embedding every protein in our large proprietary database into a vector space, making the data accessible using LanceDB built on Amazon S3, and accessed with AWS Lambda, we were able to transform enzyme discovery into a nearest neighbor search problem and rapidly access previously unexplored discovery space."