Why NautilusDB Vector Search?

Handle High-Dimension Data. Move beyond keyword search for documents, images, webpages, etc., by encoding their contents into high-dimension vectors that can be used to perform similarity search in response to queries.

Flexible and Inexpensive. Augment the knowledge of GenAI models without the need for fine-tuning or re-training.

Turbo-charge GenAI Models. Enable GenAI models to work with proprietary or real-time data and having them cite sources of information, while protecting your IP.

Pay Per Use. With data storage decoupled from search compute, you only get billed for search when there are user requests.