Viewing profile — kartik-sddb

Thanks for commenting :), Sure you can have a mesh of database, Have your input data in one data technology, run models on a distributed compute, save models on different database …

Thanks for commenting :) Absolutely you can query the embeddings of 1.6M rows, you can try with lance or in memory vector search type. The scalablity will depends on embedding size…

That's amazing!, Please try out the Jupyter demos :)

Gen AI is in the mainstream hardly like 6-7 years now, there is much more to see!

I second amazon prime cards, they have discounts on variety of products

Great! So the "scalable" AI deployment in SuperDuperDB is offered via something called as `Listeners` in conjunction with k8s native support by SuperDuperDB Lots of cool feature ar…

Hello Hackernews community! Are you tired of moving your data to complex MLOps pipelines and specialized vector databases just to implement AI in your applications? Look no further…