novel-knowledge

To build a knowledge graph from markdown files, use the automated rebuild workflow to parse YAML frontmatter in entity files. This creates a consistent searchable index of entities and events for worldbuilding data access.

You can search entities and fetch relationships in the knowledge graph by filtering across memory entities and events with tags. The Python-based interface provides underlying data access for entity resolution and relation traversal.

To keep your knowledge graph consistent after editing entity markdown files, run the knowledge graph rebuild command. This automatically refreshes the index and graph to maintain data consistency across the universe of entities.

Yes, you need pyyaml installed to parse YAML frontmatter in entity files for entity management. This dependency enables the Python-based interface to extract structured metadata from markdown files for the knowledge graph.

You can filter entities in a worldbuilding knowledge graph using tags and semantic search across memory entities and events. This supports entity resolution and relation traversal for querying worldbuilding data.

The best way to manage worldbuilding entities is using a lightweight data-access layer that parses YAML frontmatter and rebuilds the knowledge graph. This allows other skills to reason over data without embedding complex logic.