Working with Voxel51 for Visualization in Pixeltable
Pixeltable can export data directly from tables and views to the popular Voxel51 frontend, providing a way to visualize and explore image and video datasets.
Pixeltable's Voyage AI integration enables you to access state-of-the-art embedding and reranker models via the Voyage AI API.
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 voyageai
VOYAGE_API_KEYvoyageai.embeddings()voyageai.rerank()voyageai.multimodal_embed()pxt.create_table()add_computed_column()insert()add_embedding_index()similarity()from pixeltable.functions import voyageai# Create a table for document embeddingsdocs_t = pxt.create_table('voyageai_demo/documents', {'text': pxt.String})# Add computed column with Voyage embeddingsdocs_t.add_computed_column(embedding=voyageai.embeddings(docs_t.text, model='voyage-3.5', input_type='document'))
One cell of the notebook, copied as it is. Open it in Colab for the rest.
Pixeltable can export data directly from tables and views to the popular Voxel51 frontend, providing a way to visualize and explore image and video datasets.
Pixeltable's Anthropic integration enables you to access Anthropic's Claude LLM via the Anthropic API.
Pixeltable's Bedrock integration enables you to access AWS Bedrock foundation models directly from your tables.
This notebook demonstrates how to use Black Forest Labs (BFL) FLUX models for image generation and editing through Pixeltable.