llm-wiki

A markdown research wiki stores accumulated knowledge in interconnected pages with schemas, indexes, and provenance tracking. It solves repeated knowledge rediscovery by compounding your research notes over time into a persistent structure.

You can create a markdown wiki by building structured directories with schemas, indexes, logs, entities, concepts, comparisons, and query records. Process sources into curated pages while preserving provenance and managing cross-references.

Yes, you can track provenance and manage contradictions in a markdown knowledge base by applying consistency auditing workflows. This validation practice ensures your accumulated research sources remain accurate as the wiki grows.

A markdown wiki serves as a RAG alternative by answering future research questions from previously organized knowledge instead of retrieving raw chunks. You query interconnected markdown pages with schemas, indexes, and cross-references directly.

You should avoid markdown files for research knowledge management if your workflow requires non-text media storage or complex relational databases. This approach relies strictly on markdown-based structures with schemas, cross-references, and validation practices for text-centric research.