{
 "schema_version": 1,
 "generated": "2026-10-24",
 "id": "bybit-exchange-kaas--compile-personal-notes-into-wiki",
 "repo": "bybit-exchange/kaas",
 "repo_url": "https://github.com/bybit-exchange/kaas",
 "repo_slug": "bybit-exchange-kaas",
 "title": "Compile your notes into a searchable Markdown wiki",
 "page_title": "How to compile your notes into a searchable Markdown wiki with Kaas",
 "summary": "Turn scattered notes, documents and transcripts into browsable Markdown articles you can query.",
 "who": "A knowledge worker with notes, documents and meeting transcripts spread across folders who keeps re-answering the same questions.",
 "problem": "Raw notes are hard to search and chunk-based retrieval gives fragments without context.",
 "outcome": "A tree of Markdown articles on disk, a web UI to browse and chat, and chat answers that cite the articles behind them.",
 "steps": [
  "Install KaaS with `curl -fsSL https://raw.githubusercontent.com/bybit-exchange/kaas/main/install.sh | sh` or use the Docker option from the Quick Start.",
  "Set `LLM_API_KEY`, `LLM_BASE_URL` and `LLM_MODEL` to your OpenAI-compatible endpoint.",
  "Start the service with `kaas serve` (CLI) or the Docker run command from the Quick Start.",
  "Open http://localhost:8080, submit your text, file or URL on the Submit page, and wait for the compile to finish.",
  "Browse the Wiki page and ask questions in Chat, then open the cited articles to check them."
 ],
 "agent_prompt": "Using the KaaS repo at bybit-exchange/kaas, set up the service and compile the files in <folder> into the wiki. Expected output: a list of Markdown articles under the data directory and one chat answer that cites at least one article. Verify that the cited article exists on disk.",
 "agents": [
  "any"
 ],
 "difficulty": "Intermediate",
 "time": "45 minutes",
 "basis": "readme",
 "caveat": "Compile quality and speed depend on the LLM you configure, and the README notes slow local models may need longer write and extract timeouts.",
 "category": "Research",
 "tags": [
  "Research"
 ],
 "lang": "python",
 "requirements": [
  "An OpenAI-compatible LLM API key and endpoint (OpenAI, DeepSeek, Ollama, vLLM, Azure OpenAI, etc.)",
  "Docker, or a Linux amd64/arm64 or macOS arm64 machine for the CLI install",
  "Your source files, notes, or URLs to compile"
 ],
 "risk": "sensitive",
 "seen_in_the_wild": false,
 "mentioned_publicly": false,
 "risks": [
  {
   "tag": "credentials",
   "notice": "Your LLM API key is passed as an environment variable and your source documents are sent to the configured LLM endpoint."
  }
 ],
 "best": true,
 "score": 1.0,
 "evidence": [],
 "url": "https://dedupedai.com/use-cases/bybit-exchange-kaas/compile-personal-notes-into-wiki/",
 "md": "https://dedupedai.com/use-cases/bybit-exchange-kaas/compile-personal-notes-into-wiki/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/bybit-exchange-kaas--compile-personal-notes-into-wiki.json",
 "api_version": "v1"
}