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What you can do with LLM Wiki V2

A Python library and web app that turns your documents into a Markdown wiki of notes and answers questions with citations to those notes, using any LLM provider.

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crow-hq/llm-wiki-v2 on GitHub

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What do you want to do?

5 use cases

  • Turn a pile of documents into a cited Markdown wiki

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

    View prompt
    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.

  • Build a wiki that runs on your own computer with Ollama

    Use a free local model through Ollama so documents and answers stay on your machine.

    View prompt
    Set up the llm-wiki-v2 repo with Ollama as the provider and gemma4 as the model, then file <document> and ask <question>. Expected output: a cited answer. Verify that the model call went to the local Ollama server, not a remote provider.

  • Run the wiki as a server that other tools can call

    Start the wiki in Docker and add documents and ask questions through its HTTP API.

    View prompt
    Clone the llm-wiki-v2 repo, start it with Docker Compose on port 8000, then POST the text in <source file> to /ingest and ask <question> through /ask. Expected output: the ingest response and an answer with cited notes. Verify that /health reports the service as running.

  • Add documents to a wiki from a Python script

    Import the Wiki class and file text or files into a wiki from your own code.

    View prompt
    Write a Python script that imports Wiki from llmw2, points it at ./wiki, and calls ingest on each file in <folder>. Expected output: one result per file with the note and token usage. Verify that each returned note appears as a Markdown file under ./wiki.

  • Find notes filed in the wrong folder and check wiki health

    Use the audit and health commands to review where CROW would move notes and which folders keep growing.

    View prompt
    In the llm-wiki-v2 wiki at <wiki path>, run llmwiki2 audit and llmwiki2 health and summarize the proposed moves and flagged folders. Expected output: a table of notes with proposed folders and a list of folders to review. Verify that no note moves until a human runs the apply step.

How to use LLM Wiki V2

  1. Check you have what it needs: 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.
  2. Open crow-hq/llm-wiki-v2 on GitHub and read the README and license.
  3. Install it with pip install llmwiki2 (Python 3.11 or later).
  4. Start it with llmwiki2; your browser opens.
  5. Pick a provider, paste its key, press Test connection, then Save and start.
  6. Drop text, Markdown, PDF, Word, PowerPoint, Excel or OpenDocument files anywhere on the page.

These steps come from our top use case, Turn a pile of documents into a cited Markdown wiki, which also has a copy-paste agent prompt.

LLM Wiki V2 alternatives · Best AI repos for Research

About this repo

  • Who it is forPeople with a pile of documents who want a readable, editable wiki, and developers who want to run it as a server or import it as a Python library.
  • Why it is hot
  • LanguagePython
  • Sourcegithub.com/crow-hq/llm-wiki-v2 · Back to Hot repos

Requirements

  • 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
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Questions about LLM Wiki V2

What is LLM Wiki V2?

A Python library and web app that turns your documents into a Markdown wiki of notes and answers questions with citations to those notes, using any LLM provider. It is an open-source project on GitHub: https://github.com/crow-hq/llm-wiki-v2.

Who is LLM Wiki V2 for?

People with a pile of documents who want a readable, editable wiki, and developers who want to run it as a server or import it as a Python library.

What can I do with LLM Wiki V2?

5 use cases so far, for example: Turn a pile of documents into a cited Markdown wiki; Build a wiki that runs on your own computer with Ollama; Run the wiki as a server that other tools can call. Each has steps and a copy-paste agent prompt.

What do I need to run LLM Wiki V2?

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.

What are alternatives to LLM Wiki V2?

Other hot AI repos in Research: Scientific Agent Skills, Speaker Mem R1, DSH Council, Evo Bot, AI Engineering Course.

Is LLM Wiki V2 safe to run?

Deduped does not own, audit or vouch for it. Read the README and license, run it on your own systems first and review every command before you run it.