Your Backend for Multimodal AI Applications
Every multimodal AI app needs the same five things: store media, run models, index embeddings, serve endpoints, version everything.
Because typical use cases involve datasets that span multiple time zones, Pixeltable strives to be precise in how it handles time zone arithmetic for datetimes.
Core Operations · Notebook · Updated
Colab runs it in your browser. If it calls a model provider, it asks for that provider's API key in a cell.
pip install pixeltable
pxt.create_table()insert()Every multimodal AI app needs the same five things: store media, run models, index embeddings, serve endpoints, version everything.
Set up API credentials for OpenAI, Anthropic, and other AI providers so Pixeltable can access them.
You need to iterate on transformation logic before running it on your entire dataset—especially for expensive operations like API calls or model inference.
You defined a multimodal pipeline in Python and now need to inspect tables, debug computed columns, roll back changes, and expose HTTP endpoints without writing more application code.