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How to review extractions visually in context with LangExtract

Use the interactive visualization to check each extraction highlighted in the original text.

Who it is forA researcher validating extractions before using them in analysis.

The problemReviewing JSON output against long text is slow.

The outcomeAn interactive view of extractions highlighted in the source.

What you need first

  • Python
  • An API key for a cloud model, or a supported local or custom provider

Steps

  1. Run an extraction
  2. Save the results
  3. Generate the interactive visualization
  4. Open it and spot-check highlights

Prompt for your agent

Generate a langextract visualization for <results> and report any extractions whose highlight does not match the attribute.

Caveat. Long documents produce large visualizations.

Use this in your AI agent

Ask your agent

Using the Deduped MCP, get the setup steps for google/langextract and "Review extractions visually in context"

Add Deduped to Claude Code once

claude mcp add --transport http deduped https://dedupedai.com/mcp

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