"Build a vector database with one click"
Lantern is a hosted Postgres vector database and toolkit for developers to build high-performance AI applications.
Founded by Di Qi and Narek Galstyan
About Lantern
Lantern is a Postgres vector database that is easy to use, cost-effective, and scales to billions.
Anyone using a standalone vector database such as Pinecone has to maintain a separate database for their other application needs. This adds complexity. With Lantern, you can run vector search in the database you already know and love, Postgres. In addition, Lantern is orders of magnitude cheaper than Pinecone.
Lantern recently released product quantization. This enables index compression so the index can use up to 90% less memory and cost an additional 90% less!
The startup supports embedding generation with Open AI, Cohere, and open-source embedding models inside the database for one-off queries. For bulk transactions and managed columns, they support generating up to 2 million embeddings per hour.
Lantern also supports external index creation, which offloads index creation to external machines to avoid expensive index creation processes causing downtime in production databases.
Get Started
The easiest way to get started is with Lantern Cloud, their managed Postgres service. To self-host or explore their source code, check out their GitHub repo.
If you are currently using another vector database provider or another Postgres provider, Lantern has tools to make migration seamless.
Multiple customers are using Lantern in production, and the startup would love to have you give their platform a try too!
