LanceDB

LanceDB is an open-source, embedded vector database on the Lance columnar format, offering hybrid search, filtering, and reranking over billions of multimodal vectors with compute-storage separation for cost savings. It suits developers building RAG and search embedded in their apps.

LanceDB is a developer-friendly vector database designed to run embedded — in-process, like SQLite for vectors — on top of the open-source Lance columnar format. That format enables fast random access and efficient on-disk filtering, so LanceDB avoids much of the memory overhead that other vector databases incur at query time, and its compute-storage separation lets you keep data on cheap object storage like Cloudflare R2 for large cost savings at scale. It supports hybrid search, metadata filtering, and reranking across billions of vectors. A key strength is multimodal support: because Lance handles text, images, and structured data efficiently, LanceDB fits pipelines that work across modalities rather than text alone. Developers can start fully embedded with no server to run, then move to LanceDB Cloud, a serverless managed service with usage-based pricing that launched in public beta, or LanceDB Enterprise for larger deployments. LanceDB is a strong choice for teams that want an open-source, cost-efficient vector store they can embed directly in their application and scale to large multimodal datasets. As a comparatively newer entrant, its managed cloud is still maturing (with pricing evolving), and very large or highly concurrent production deployments should be validated carefully against alternatives.