llm-wiki

A Markdown knowledge base captures and cross-references insights from articles, papers, and transcripts into a navigable repository. It uses wikilinks, provenance markers, and frontmatter to preserve traceability and context over time.

You build a cross-referenced knowledge base by configuring a wiki path and ingesting sources into the Markdown structure. The workflow requires reading the schema and index files to orient before adding content with proper frontmatter and wikilinks.

Yes, the wiki uses an Obsidian-compatible vault format that is lightweight querying ready. AI agents and research teams can ingest diverse sources into this format while maintaining provenance and interlinking across the repository.

This Markdown wiki serves as a RAG alternative by building a persistent, interlinked knowledge repository instead of relying on vector retrieval. It structures sources with frontmatter and wikilinks for direct navigable cross-referencing.

Maintaining the wiki requires adherence to a specific wiki schema and a cross-reference workflow. Users must follow an orientation process reading schema, index, and log files before operations to ensure consistency across the knowledge base.