RAG Operations in Pixeltable

What it covers

• Creating Tables and Views
• Data Ingestion
• Experimenting with Chunking
• Further Experiments
• Computing Embeddings

What it uses

Install

terminal

$pip install pixeltable sentence-transformers spacy tiktoken

Pixeltable calls

document.document_splitter()huggingface.sentence_transformer()huggingface.clip()pxt.create_table()pxt.create_view()insert()add_computed_column()

A look at the code

from pixeltable.functions.huggingface import sentence_transformer

chunks.add_computed_column(
    minilm_embed=sentence_transformer(
        chunks.text, model_id='paraphrase-MiniLM-L6-v2'
    )
)

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

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• Use a table pipeline as a reusable function

  Convert a table with computed columns into a callable function for multi-agent workflows and pipeline composition.

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• Look up structured data with retrieval UDFs

  Create lookup functions that query tables by key—for customer records, product catalogs, or financial data.

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• Use tool calling and MCP servers with LLMs

  Enable LLMs to call functions and tools, then execute the results automatically.

  Updated Oct 16, 2026Open in Colab