Agent that summarizes lengthy reports (PDF -> Summary)

This agent summarizes a PDF document by processing its contents through the Vellum Document API and generating a user-friendly summary. It allows users to input a document ID and receive a concise summary of the document's text.
Vellum Team
Created By
Anita Kirkovska
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Created By
Anita Kirkovska
Last Updated
July 31, 2025
Categories
Document extraction
AI Agents

How it Works / How to Build It

  1. DocumentAPIURL: This node constructs the API URL using the provided document_id from the user inputs.
  2. DocumentAPI: This node calls the Vellum API to retrieve the document's contents using the constructed URL and an API key for authorization.
  3. ProcessedDocumentURL: This node extracts the URL of the processed document from the API response.
  4. ProcessedDocumentContents: This node fetches the actual contents of the processed document using the URL obtained in the previous step.
  5. PromptNode: This node generates a summary of the document's contents by prompting a machine learning model with the text retrieved.
  6. FinalOutput: This node outputs the generated summary for user display.

What You Can Use This For

  • Summarizing lengthy reports for quick insights.
  • Creating concise overviews of legal documents for review.
  • Generating summaries of research papers for academic purposes.
  • Providing quick summaries of internal documentation for team members.

Prerequisites

  • Vellum account.
  • Access to the Vellum API with a valid API key.
  • PDF documents uploaded to the Vellum system.

How to Set It Up

  1. Create a new workflow in your Vellum account.
  2. Add the DocumentAPIURL node and configure it to accept the document_id input.
  3. Connect the DocumentAPI node to the DocumentAPIURL node.
  4. Link the ProcessedDocumentURL node to the DocumentAPI node.
  5. Connect the ProcessedDocumentContents node to the ProcessedDocumentURL node.
  6. Add the PromptNode and link it to the ProcessedDocumentContents node.
  7. Finally, connect the FinalOutput node to the PromptNode to display the summary.
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sucCCESS STORIES

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We know the power of AI, but how do we make it secure and ensure that we're not compromising privacy and security while still providing value? Vellum has been a big part of accelerating that experimentation part, allowing us to validate that a feature is high-impact and feasible.
Pratik Bhat
ai Product manager
We sped up AI development by 50 percent and decoupled updates from releases with Vellum. This allowed us to fix errors instantly without worrying about infrastructure uptime or costs.
Jordan Nemrow
Co-Founder & CTO @ Woflow
Vellum helped us quickly evaluate prompt designs and workflows, saving us hours of development. This gave us the confidence to launch our virtual assistant in 14 U.S. markets.
Sebi Lozano
Sr. Product Manager @ Redfin
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