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LanceDB is a developer-friendly, open source database for multimodal AI. From hyper scalable vector search to advanced retrieval for RAG, from streaming training data to interactive exploration of…

LanceDB is a developer-friendly, open source database for multimodal AI. From hyper scalable vector search to advanced retrieval for RAG, from streaming training data to interactive exploration of…
Product: Open-source, developer-focused multimodal lakehouse and vector database for AI
Use cases: Vector/semantic search, dataset curation, feature engineering, accelerated training
Business model: Open-source project with embedded library plus managed Enterprise/Cloud offering
Founders: Chang She and Lei Xu
Recent funding: Series A $30M (June 2025); prior seed rounds totaling $11M (May 2024)
Managing and searching large-scale multimodal AI datasets (embeddings, images, video, text) and accelerating training/data workflows.
Information Services
$11M (total reported for seed round)
Seed reporting references an $8M tranche led by CRV bringing total to $11M.
$30M
“Participation from investors including CRV, Y Combinator, Essence VC, Swift Ventures, Databricks Ventures, Runway (RunwayML) and Zero Prime across rounds”
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