wiki-knowledge-base

To build a persistent knowledge base from research sources, you initialize a topic wiki, add raw documents, and ingest them. The system converts materials into structured, interlinked summary, entity, and concept pages.

The best way to organize accumulating research is creating a topic wiki with schema, index, and log files. Source ingestion converts raw documents and web captures into structured markdown pages with YAML frontmatter for searchable, interlinked knowledge.

You query specific information using index-driven operations and tiered context loading. This mechanism reads only the most relevant pages needed to answer your question, providing targeted responses with citations.

Yes, you can check your knowledge base for dead links, orphan pages, stale claims, and missing cross-references. The wiki includes quality control and lint operations to maintain link integrity and document freshness.

Yes, the research wiki requires markdown files with YAML frontmatter. This format enables selective source ingestion, tiered context loading, and index-driven query operations to maintain the interlinked knowledge base.