What problem does it solve?
It solves the problem of keeping your own private knowledge organized and searchable locally, so you can quickly ingest documents and get accurate answers or structural fixes without relying on external knowledge bases.
Core Features & Use Cases
- Document ingestion for local sources: Ingest PDFs, Markdown, and TXT files into a persistent wiki backed by a deduplication manifest.
- Question answering from compiled knowledge: Query the compiled wiki and answer using the retrieved facts with citations to original files.
- Wiki health and maintenance (linting): Detect broken links and orphaned pages, then proactively repair wiki pages while preserving sources as the raw truth.
- Use Case: Maintain a personal research library where you ingest meeting notes and reference PDFs, then ask the system to summarize specific decisions and later lint the wiki to keep it navigable.
Quick Start
Ask the AI to ingest the folder "/path/to/your-docs" into your local LLM Wiki and update the wiki index with links to the newly ingested knowledge.