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How to turn a pile of documents into a cited Markdown wiki with LLM Wiki V2

Drop your files into a browser page and get a wiki of Markdown notes you can ask questions of.

  • Top pick
  • Research
  • Beginner
  • 30 minutes
  • From the README
  • Any agent

Who it is forA person with many documents in mixed formats who needs answers from them and does not want to read everything again.

The problemScattered documents are hard to search and answers are hard to trace back to a source.

The outcomeA folder of Markdown notes that answers questions and cites the notes it used.

What you need first

  • Python 3.11 or later, or uv to install it
  • An API key for OpenRouter, OpenAI, Gemini or another OpenAI-compatible server, or Ollama installed for free local use
  • Documents as text, Markdown, PDF, Word, PowerPoint, Excel or OpenDocument files

Steps

  1. Install it with pip install llmwiki2 (Python 3.11 or later).
  2. Start it with llmwiki2; your browser opens.
  3. Pick a provider, paste its key, press Test connection, then Save and start.
  4. Drop text, Markdown, PDF, Word, PowerPoint, Excel or OpenDocument files anywhere on the page.
  5. Type a question and click a cited note to read it.

Prompt for your agent

Using the llm-wiki-v2 repo (package llmwiki2), file the documents in <documents folder> into the wiki, then ask it <question>. Expected output: the answer plus the note paths it cites. Verify that each cited note exists as a Markdown file in ~/llm-wiki.

Caveat. A scanned PDF with no text layer adds nothing until you run OCR on it first.

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