LanceDB

An open-source, serverless vector database that runs embedded in-process without a separate server, making it as easy to add to a project as SQLite. LanceDB stores data in the Lance columnar format, which supports both random access and fast sequential scans, enabling hybrid full-text and vector search in the same database file. It handles multimodal data including text, images, audio, and video natively. Because LanceDB runs embedded without a separate process, it is well-suited for local AI applications, Jupyter notebooks, and edge deployments where running a separate vector server is impractical. LanceDB scales to disk-based storage for datasets larger than memory. A managed cloud version is available. Free and open-source under Apache 2.0. Popular with developers building local AI assistants, data science workflows, and lightweight AI apps that need vector search without infrastructure overhead.

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