{
 "schema_version": 1,
 "generated": "2026-10-20",
 "id": "vectifyai-jev-doc-search--locate-policy-page-in-short-pdf",
 "repo": "VectifyAI/jev-doc-search",
 "repo_url": "https://github.com/VectifyAI/jev-doc-search",
 "repo_slug": "vectifyai-jev-doc-search",
 "title": "Locate the handbook page that answers an HR question",
 "page_title": "How to locate the handbook page that answers an HR question with Jev Doc Search",
 "summary": "Runs flat page search on a short PDF to return the most likely page and its text.",
 "who": "An HR or operations person with a short handbook or policy PDF who wants the page for a question like vacation days, without reading the whole file.",
 "problem": "Scanning a short PDF page by page to answer one policy question wastes time, and the document is short enough for a single Choice.",
 "outcome": "The script prints the most likely page label and its text, which you can read directly.",
 "steps": [
  "Run `pip install -r requirements.txt` in the repo folder.",
  "Run `export TYPESAFE_API_KEY=\"...\"` and replace the value with your TypeSafe key.",
  "Run `python page_search.py handbook.pdf \"How many vacation days do new employees get?\"` with your own PDF and question.",
  "Read the printed page and its text to confirm it contains the policy."
 ],
 "agent_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.",
 "agents": [
  "any"
 ],
 "difficulty": "Intermediate",
 "time": "30 minutes",
 "basis": "readme",
 "caveat": "Flat page search only works while the whole document fits in one request, which the README puts at a few dozen pages, so use tree_search.py for longer PDFs.",
 "category": "Research",
 "tags": [
  "Research"
 ],
 "lang": "python",
 "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"
 ],
 "risk": "sensitive",
 "seen_in_the_wild": false,
 "mentioned_publicly": false,
 "risks": [
  {
   "tag": "credentials",
   "notice": "The script needs a TypeSafe API key set as an environment variable, so keep it out of shared files."
  }
 ],
 "best": false,
 "score": 0.9,
 "evidence": [],
 "url": "https://dedupedai.com/use-cases/vectifyai-jev-doc-search/locate-policy-page-in-short-pdf/",
 "md": "https://dedupedai.com/use-cases/vectifyai-jev-doc-search/locate-policy-page-in-short-pdf/index.md",
 "disclaimer": "Deduped lists open-source repositories that belong to other people. We do not own, maintain, audit, or vouch for any of them, and a repo appearing here is not an endorsement or a safety check. The use cases, steps, and prompts are written by AI and may be incomplete, outdated, or just wrong. Where a use case is marked \"Seen in the wild\", we link to public posts where someone described something similar, but we have not verified those posts and the use case itself is still our AI's own write-up. Use all of this at your own risk. Only run code, commands, or agents on systems and accounts you are authorized to use, and read the code and every command before you run it, especially anything that touches credentials, files, or the network. Nothing here is professional, security, legal, or financial advice. All trademarks and project names belong to their respective owners, and their use here does not imply affiliation. Content is provided as is, without warranties of any kind. Found a mistake, a safety problem, or something you want removed? Email hello@dedupedai.com and we will look at it promptly.",
 "api": "https://dedupedai.com/api/v1/usecases/vectifyai-jev-doc-search--locate-policy-page-in-short-pdf.json",
 "api_version": "v1"
}