LanceDB is an open-source, embedded vector database built for storing and searching the vectors, images, and documents that power retrieval-augmented AI applications. Founded in 2022 by Chang She and Lei Xu (Y Combinator's Winter 2022 batch) and based in San Francisco, the company built its own storage layer, the Lance columnar format, instead of adapting a general-purpose database to vector workloads.
Because Lance is a file format rather than a server process, developers can embed LanceDB directly inside a Python, JavaScript, or Rust application and query petabyte-scale multimodal datasets without running separate database infrastructure. LanceDB Cloud extends the same engine with managed, usage-based hosting for teams that outgrow a single machine.
The tool fits engineering teams building search, recommendation, or RAG pipelines who want open-source flexibility with a managed-hosting option. The self-hosted library is Apache 2.0 licensed and free; LanceDB Cloud bills on usage (free during its public beta), and Enterprise plans are quoted individually.






