LLM as judge

What it covers

• The table
• The answer under test
• The judge prompt
• The verdict and the score

What it uses

Pixeltable calls

openai.chat_completions()pxt.create_table()@pxt.udfadd_computed_column()insert()

A look at the code

runs.add_computed_column(
    response=openai.chat_completions(
        messages=[{'role': 'user', 'content': runs.prompt}], model='gpt-4o-mini'
    )
)
runs.add_computed_column(answer=runs.response.choices[0].message.content)

One block of the recipe, copied as it is. The rest is on the docs page.

• Document Indexing and RAG

  In this tutorial, we'll demonstrate how RAG operations can be implemented in Pixeltable. In particular, we'll develop a RAG application that summarizes a collection of PDF documents and uses ChatGPT to answer questions about them.

  Updated Oct 30, 2026Open in Colab

• RAG Operations in Pixeltable

  In this tutorial, we'll explore Pixeltable's flexible handling of RAG operations on unstructured text.

  Updated Jan 24, 2026Open in Colab

• Build an agent with memory

  Create an AI agent that remembers important information across conversations.

  Updated Apr 10, 2026Open in Colab

• 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.

  Updated Apr 10, 2026Open in Colab