awesome-search-knowledge-graph

To build a semantic knowledge graph in Obsidian, this Skill processes article URLs or vault notes to extract entities like concepts, people, and companies. It automatically establishes wikilinks between these notes to create a navigable semantic network within your vault.

You can extract entities from existing Obsidian vault notes by triggering an enrichment request. The Skill processes the note by its title to identify and populate related concepts, topics, people, companies, and case studies, then links them across vault sections.

Yes, you can process a new article URL to automatically generate a linked article note. The Skill simultaneously populates its related concept, topic, and person notes, establishing the necessary wikilinks to maintain a dense semantic knowledge graph.

Maintaining a dense semantic network for Obsidian vault management requires continuous entity extraction and linking. This Skill handles triggering, structuring, and linking requirements across vault sections whenever new articles are processed or existing notes are enriched.

Yes, the knowledge graph generation specifically supports case studies and company notes. It processes articles and vault notes to extract these specific entities, structuring them into interconnected notes that surface related concepts for cross-note exploration.

Automated entity extraction should be used for vault management when processing new articles or enriching existing notes to ensure a dense semantic network. It prevents manual linking errors and surfaces related concepts that might otherwise be missed during cross-note exploration.