Lantern

Postgres vector database extension to build AI applications

Y CombinatorWinter 2024InactiveB2BArtificial IntelligenceB2BOpen SourceEnterprise

What they do

Problem

Companies need an easy, scalable way to search and use unstructured data for AI applications without adopting a separate vector database stack.

Solution

Lantern provides a Postgres vector database extension and managed cloud features (embeddings, compression, indexing, vector search) to build AI apps at scale.

Who it's for

Developers and engineering teams at companies building AI applications on Postgres, including enterprises needing scalable vector search.

Founders

Di Qi

Founder

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.

LinkedIn · X

Narek Galstyan

Founder

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.