llm-wiki

To build a markdown knowledge base, use structured markdown files with YAML frontmatter, schemas, and cross-linking conventions to organize sources, synthesize durable notes, and preserve research insights over time.

Organizing research papers into an interconnected wiki requires ingesting sources into structured markdown notes, tracking provenance, updating existing pages, and managing contradictions to maintain a compounding knowledge base.

A markdown wiki serves as a RAG alternative by allowing you to query accumulated, interconnected notes with source context instead of rebuilding summaries from scratch during each research session.

Auditing a markdown knowledge base involves checking for broken links, missing indexes, stale content, weak confidence signals, and structural issues to ensure long-term consistency and reliability.

Managing a research wiki requires YAML frontmatter and cross-linking conventions to support structured markdown files, consistency checks, and long-term knowledge accumulation across ingested sources and concepts.

A research knowledge base loses source context and contradictions without a structured markdown wiki that tracks provenance, manages contradictions, and applies consistency checks during source ingestion and synthesis.