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LanceDB

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Open-source, serverless vectordb for production-scale generative AI

Winter 2022Founded 202235 peopleSan Francisco, CA, USA

About

LanceDB is a new open-source vector database that can support low-latency billion-scale vector search on a single node. Built around a new columnar data format, LanceDB makes it incredibly easy to build applications for generative AI, recsys, search engines, content moderation, and more.

Founders ยท 1

Chang She
Chang SheFounder

My passion is building tools to make teams more productive working with data. I was VP of Eng at TubiTV where I designed the ML stack and the experiment platform, in addition to growing the team by more than 3x. Previously I was CTO/co-founder of DataPad and the second major contributor to the pandas library. In a former life, I was a financial quant with stints at AQR and Barclays.

Launch

Launched on Y Combinator ยท May 2023
View launch post โ†—

Meet LanceDB, the easy-to-use and developer-friendly alternative to Pinecone

LanceDB launches as a free, open-source vector database that can run locally or on a server, offering fast, embeddable integration for AI apps and unstructured data workflows. It targets developers seeking a lower-cost, simpler alternative to Pinecone, with features for vector search, filtering, and scalable storage.

From the original launch (May 2023) โ€” may be outdated.

Formerly โ€œETOโ€, โ€œEtoโ€

B2BInfrastructureAIOpsMachine LearningOpen SourceData Engineering

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