Does this mean we are getting closer to being able to do typical inference search stuff straight in the db? I CTO ecommerce stuff and I am just now starting to look into similarity based recommendations where we can show related products based on a bunch of variables that infer similarity?
My knowledge of this topic is very tangential since I have not had a need to dive in, but isnt a completed / trained model just represented as a bunch of vectors?
We run Elixir so I could run the models in bumblebee but ideally we can stick to postgres only until vertical scaling starts to fall apart (which is double digits terabytes away).
My knowledge of this topic is very tangential since I have not had a need to dive in, but isnt a completed / trained model just represented as a bunch of vectors?
We run Elixir so I could run the models in bumblebee but ideally we can stick to postgres only until vertical scaling starts to fall apart (which is double digits terabytes away).