llm-wiki

To build a linked markdown knowledge base, ingest articles, papers, and transcripts into a raw layer, which automatically generates linked entity, concept, and comparison pages while enforcing frontmatter standards.

The best way to maintain consistency across a growing markdown wiki is to use a linting process that detects orphan pages, broken links, and stale content. This enforces schema consistency and tracks changes via a structured index and log.

You can retrieve synthesized answers from your research notes by querying the compiled knowledge base. The system retrieves relevant information, cites specific pages, and optionally files the result for future reference.

Yes, this markdown wiki approach works for ingesting audio transcripts and papers by capturing them into a raw layer. It then automatically processes these assets to generate and update structured entity and concept pages.

You track changes and detect broken links in your markdown research notes by using the built-in linting and maintenance features. It tracks updates via an index and log while detecting orphan pages and stale content.