Split data into multiple rows with iterators

What it covers

• Split documents into text chunks for RAG
• Extract frames or segments from videos
• Tile images for high-resolution analysis
• Chunk audio files for transcription

What it uses

Install

terminal

$pip install pixeltable spacy tiktoken click

Pixeltable calls

document.document_splitter()video.frame_iterator()video.video_splitter()string.string_splitter()image.tile_iterator()audio.audio_splitter()pxt.create_table()pxt.create_view()insert()sample()

A look at the code

from pixeltable.functions.video import frame_iterator

videos = pxt.create_table('split_demo/videos', {'video': pxt.Video})
videos.insert(
    [
        {
            'video': 'https://github.com/pixeltable/pixeltable/raw/main/docs/resources/bangkok.mp4'
        }
    ]
)

One cell of the notebook, copied as it is. Open it in Colab for the rest.

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  Every multimodal AI app needs the same five things: store media, run models, index embeddings, serve endpoints, version everything.

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• Configure API keys for AI services

  Set up API credentials for OpenAI, Anthropic, and other AI providers so Pixeltable can access them.

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• Get fast feedback on transformations

  You need to iterate on transformation logic before running it on your entire dataset—especially for expensive operations like API calls or model inference.

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