I think this is very smart. Instead of a big ML ops stack, do your model stuff where your data is.
For us, the fact it supports Postgres and SQLite out of the box is awesome. It means we can run a model on the server to generate embeddings, sync these to a local SQLite and then run local inference on the same data structure.
For us, the fact it supports Postgres and SQLite out of the box is awesome. It means we can run a model on the server to generate embeddings, sync these to a local SQLite and then run local inference on the same data structure.