Working with Together AI in Pixeltable
Use Together AI from Pixeltable for chat completions and image generation.
This tutorial demonstrates how to configure Pixeltable to use Tigris for storage. This lets you store unlimited amounts of images in Tigris' global data plane, allowing your images to load fast everywhere.
Providers · 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 datasets
AWS_SECRET_ACCESS_KEYnet.presigned_url()pxt.create_table()add_computed_column()# Add a computed column for thumbnails# Uses output_media_dest by default, or specify a custom destinationscreenshots.add_computed_column(thumbnail=screenshots.image.resize((256, 256)),destination=f'https://t3.storage.dev/{bucket_name}/botw-screenshots/thumbnails/',)
One cell of the notebook, copied as it is. Open it in Colab for the rest.
Use Together AI from Pixeltable for chat completions and image generation.
Twelve Labs provides multimodal embeddings that project text, images, audio, and video into the same semantic space. This enables true cross-modal search - the most powerful feature of this integration.
This tutorial demonstrates how to use Pixeltable's built-in vLLM integration to run local LLMs with high-throughput inference.
Pixeltable's Voyage AI integration enables you to access state-of-the-art embedding and reranker models via the Voyage AI API.