Enterprise Grade Vector Search

Use LanceDB as a vector database for low-latency, high-throughput multimodal search across structured and unstructured data

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Built for Complex Retrieval

One Query Engine

Hybrid search across vector, full-text and metadata with extensive reranking support.

Search Docs

Native Multimodal Support

Works with images, video, audio, text and complex data like point clouds.

Search Docs

Low Latency, High QPS

20K+ QPS, sub-second search latency, even at scale.

Performance Docs

Retrieval at Massive Scale

Petabyte-scale and object-store-native. Real-time retrieval for efficient chatbots and agentic systems.

Demo Docs

Scale Without Limits

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Deploy Anywhere

LanceDB runs wherever you build. Prototype to production in a few steps.

Open Source

The foundation for AI-native data — open, blazing fast, and ready to build anywhere.

LanceDB OSS

Serverless

Effortless scale, serverless performance, and an elegant way to manage AI data.

LanceDB Cloud

Private

A data platform without limits — advanced engines, enterprise security, and world-class support.

LanceDB Enterprise

Tomorrow's AI is being built on LanceDB today

“We checked lots of other solutions, and they all became exorbitantly expensive for datasets >100M embeddings. LanceDB was the only option that could store 1B embeddings with 100x lower cost and zero ops. That’s why we love LanceDB!”

Chris Moody, CTO & Co-founder

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