What you can do with Jev Doc Search

3 use cases

• Find the page that answers a question in a long PDF

  Searches a 300-page report by tree, then returns the pages that answer your question.

  • Jev Doc Search
  • Research
  • Intermediate
  View prompt

  Using the repo VectifyAI/jev-doc-search, run tree_search.py on <path-to-pdf> with the question <question>. Report the sections and pages it kept and the doc_id. Verify by opening the first kept page of the PDF and confirming the figure or claim appears there.

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• Locate the handbook page that answers an HR question

  Runs flat page search on a short PDF to return the most likely page and its text.

  • Jev Doc Search
  • Research
  • Intermediate
  View prompt

  Using the repo VectifyAI/jev-doc-search, run page_search.py on <path-to-pdf> with the question <question>. Output the most likely page label and its text. Verify that the page text contains the answer by checking the wording against the PDF.

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• Ask many questions of one indexed annual report

  Uploads a report once, then reuses its doc_id to answer each new question.

  • Jev Doc Search
  • Research
  • Intermediate
  View prompt

  Using the repo VectifyAI/jev-doc-search, upload <path-to-pdf> once with tree_search.py, then run it with the returned doc_id for each question in <question-list>. Output the kept pages per question. Verify that the doc_id stays the same across runs and that each answer page matches the question's topic.

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How to use Jev Doc Search

1. Check you have what it needs: Python with pip available; A TypeSafe API key from the TypeSafe console; A PageIndex API key from the PageIndex dashboard.
2. Open VectifyAI/jev-doc-search on GitHub and read the README and license.
3. Run pip install -r requirements.txt in the repo folder.
4. Run export TYPESAFE_API_KEY="..." and replace the value with your TypeSafe key.
5. Run export PAGEINDEX_API_KEY="..." and replace the value with your PageIndex key.
6. Run python tree_search.py NVIDIA_10K.pdf "What was NVIDIA's total revenue for fiscal year 2026?" with your own PDF and question.

These steps come from our top use case, Find the page that answers a question in a long PDF, which also has a copy-paste agent prompt.

Jev Doc Search alternatives · Best AI repos for Research

About this repo

• Who it is forDevelopers and analysts who need to locate specific answers in long PDF reports, such as annual reports or handbooks, and who can run Python scripts with two API keys.
• Why it is hot
• LanguagePython
• Sourcegithub.com/VectifyAI/jev-doc-search · Back to Hot repos

Requirements

• Python with pip available
• A TypeSafe API key from the TypeSafe console
• A PageIndex API key from the PageIndex dashboard
• The PDF you want to search

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