{
 "schema_version": 1,
 "generated": "2026-10-20",
 "id": "fengzhenfei-carrel--keep-research-library-current-automatically",
 "repo": "FengZhenfei/carrel",
 "repo_url": "https://github.com/FengZhenfei/carrel",
 "repo_slug": "fengzhenfei-carrel",
 "title": "Keep a research library current as files change",
 "page_title": "How to keep a research library current as files change with Carrel",
 "summary": "Schedule Carrel to scan a research folder so new papers and notes show up in agent answers.",
 "who": "A researcher or analyst whose reading list and notes change every week and who wants agents to use the latest versions.",
 "problem": "Indexes go stale when files are added or edited, so agents answer from outdated material.",
 "outcome": "Carrel scans for file changes and updates indexes on a schedule, so agent queries reflect recent files.",
 "steps": [
  "Run `./deploy.sh` and wait for the services to start; on Linux with user systemd, the script enables scheduled tasks.",
  "Place the research files in `runtime/mirror/<library-folder>/` and enable that folder in the console at http://127.0.0.1:9800.",
  "On Linux without user systemd, follow the systemd guide to set up the timers manually, using deployment/systemd/README.md. (inferred, check the README)",
  "Check task progress in the console after you add or change a file, then rerun the search query to confirm the change appears."
 ],
 "agent_prompt": "Use the FengZhenfei/carrel repo to search the research library at http://127.0.0.1:9810/search for <topic>. Report whether results include a document added in the last week. Verify the returned sources are dated or named after the new file before reporting success.",
 "agents": [
  "any"
 ],
 "difficulty": "Intermediate",
 "time": "90 minutes",
 "basis": "readme",
 "caveat": "Scheduled updates depend on the host setup, and the README says macOS needs scheduling arranged separately while Windows requires WSL2.",
 "category": "Research",
 "tags": [
  "Research"
 ],
 "lang": "python",
 "requirements": [
  "Linux, macOS with Docker Desktop, or Windows through WSL2 (native Windows is not supported)",
  "Python 3.12+ and Docker 25+ with Compose v2",
  "A text embedding endpoint and a vision-language endpoint, either local or hosted",
  "A chat model if you want knowledge graphs",
  "Optional: an NVIDIA GPU with NVIDIA Container Toolkit for the local model stack"
 ],
 "risk": "sensitive",
 "seen_in_the_wild": false,
 "mentioned_publicly": false,
 "risks": [],
 "best": false,
 "score": 0.7,
 "evidence": [],
 "url": "https://dedupedai.com/use-cases/fengzhenfei-carrel/keep-research-library-current-automatically/",
 "md": "https://dedupedai.com/use-cases/fengzhenfei-carrel/keep-research-library-current-automatically/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/fengzhenfei-carrel--keep-research-library-current-automatically.json",
 "api_version": "v1"
}