Lantern
InactivePostgres vector database extension to build AI applications
About
Lantern is the easiest way to build AI applications using Postgres. We started Lantern because we believe AI is going to impact every single enterprise in every single industry. We want to allow every company to tap into their unstructured data to build better applications. With Lantern Cloud, developers have access to everything they need to build an AI application: embedding generation, vector compression, vector search, efficient indexing, and more. All on top of the database they already know, Postgres, and using infrastructure that scales to billions. Check out our code on Github: https://github.com/lanterndata/lantern
Founders · 2
I'm working on Lantern. We're building the best platform to develop AI applications. Before Lantern, I worked at Y Combinator, on my own startups, and at Facebook. I studied computer science at Princeton, and grew up in Americus, Georgia.
Now building the only database you'll need for your AI applications. I was an early engineer at Timescale, a billion-dollar Postgres company, where I contributed core features. I did my undergrad at Princeton, where I built a safe OS schedule in Rust for my thesis. More recently, I was a PhD Student at UC Berkeley working on distributed systems.
Launch
Lantern is a Postgres vector database that is scalable, cost-effective, and easy to use
Lantern is a Postgres vector database that is easy to use, scales to billions, and is cheaper than standalone vector services. It supports embedding generation inside Postgres, product quantization for memory and cost savings, external index creation, and provides a managed service via Lantern Cloud with migration tools for existing vector or Postgres users.
From the original launch (Mar 2024) — may be outdated.
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