llm-wiki

To build a persistent Markdown knowledge base, you can ingest research sources and organize them into an interlinked repository. This process automatically generates cross-referenced pages with provenance markers to reduce content duplication and drift.

Cross-linking works by automatically generating interconnections between ingested sources during wiki creation. It enforces YAML frontmatter, tag taxonomy, and provenance markers across pages to maintain a structured and navigable knowledge base.

The best way to lint and audit an interlinked Markdown wiki is to run maintenance queries that check for cross-link requirements and YAML frontmatter consistency. This reconciles pages and keeps your knowledge base current.

Yes, you can query a compiled research wiki to retrieve cross-referenced content. Once you ingest and organize sources into the persistent knowledge base, you can run queries across the compiled notes for research purposes.

Yes, YAML frontmatter and tag taxonomy are required to organize research notes into a wiki. The system enforces these structural elements alongside provenance markers to ensure consistent cross-linking and knowledge base integrity.

A Markdown knowledge base experiences content drift and duplication when lacking enforced provenance markers and cross-linking. Ingesting sources into a persistent, interlinked repository with linting audits reconciles pages and resolves these issues.