llm_wiki

LLM Wiki turns your documents into a structured, interlinked knowledge base using any LLM you want. Drop in PDFs, Word files, or web clips and the app runs a two-step chain-of-thought process: analyze the content, then generate wiki pages with source traceability and automatic cross-references. The knowledge graph visualization surfaces connections you didn't know existed.

Built with Tauri and React, it runs as a native desktop app on macOS, Windows, and Linux. Pre-built binaries mean no build step. It works with OpenAI, Anthropic, Google, Ollama (for zero API cost), or any OpenAI-compatible endpoint. Optional vector search via embedded LanceDB adds semantic lookup. The wiki directory is Obsidian-compatible, so you can open it directly in Obsidian for manual editing.

Solo researchers and writers get an AI-powered second brain that keeps all data local. Small teams sharing a knowledge base get automatic entity extraction and gap detection. The Louvain community detection algorithm finds knowledge clusters automatically.

The catch: every document you ingest costs LLM tokens. Large libraries add up fast, especially with the two-step analysis. The Deep Research feature requires a paid Tavily API key. And the quality of generated pages depends entirely on which LLM you're using.