knowledge-navigator

Knowledge graph traversal works by revealing and navigating structured connections between your notes, references, and topics using advanced querying. This enables edge-aware search and topic-based exploration across the entire knowledge base.

Yes, you can browse references by topic using topic-scoped filtering. This surfaces and lists specific reference sources while organizing the knowledge base into connected, navigable topic clusters.

Orphan detection is performed by traversing the knowledge graph to identify unlinked notes and references. This surfaces isolated content that lacks connections to broader topics, allowing you to integrate missing links.

Knowledge graph exploration surfaces insightful metrics and recent activity to identify knowledge clusters. By traversing structured connections between topics and references, you gain visibility into the density and distribution of your information.

Graph traversal relies on a frontmatter-driven entry point to map connections between your notes, references, and topics. It provides a CLI surface for searching, browsing, and executing graph operations across this structured metadata.

The best way to navigate unlinked content is performing orphan detection via graph traversal to surface isolated notes and references. This reveals missing edges, allowing you to establish structured connections and improve overall knowledge graph integrity.