superduper
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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,...
When users are interacting with the system, they should not need to care too much about where the model is running. `superduper` will provide the best place to run the...
This will potential enable a greater range of templates and configurability. Currently we are not able to support "for loops" over input values/ variables. For example, in key-value extraction (document-ai)...
Currently, Query is actually divided into two types: MongoQuery and IbisQuery. When used in a MongoDB scenario, after export, it is recorded as superduper_mongodb, making it impossible to migrate to...
On Mac OSX, with a virtual environment (Python 3.11), I can access `superduper` with: ``` python -m superduper --help ``` But not ``` superduper --help ```
```python -m streamlit --user=... --password=...```
Implement a streamlit interface component which can be loaded from the system and will run in the parent [streamlit interface runner](https://github.com/superduper-io/superduper/issues/2406).
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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,...