superduper-io / superduper

Superduper: Integrate AI models and machine learning workflows with your database to implement custom AI applications, without moving your data. Including streaming inference, scalable model hosting, training and vector search.

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[SIMPLIFY-2] All datatypes should be wrapped with a `Schema`

blythed opened this issue · comments

Currently we can add "inline" datatypes to primary data with:

img = PIL.Image.open(...)
dt = pil_image
r = Document({'img': dt(img)})

To make the project easier to understand, we will drop this feature for primary data (data inserted to databackend).