knowledge-graph

You can store entities and typed relations in a SQLite knowledge graph by using ingestion scripts to capture structured data, enabling full-text search, path finding, and timeline tracking across your projects.

Yes, you can auto-ingest markdown files into a SQLite knowledge graph. The ingestion scripts parse markdown inputs like MEMORY.md to automatically populate and update entities and relationships in the database.

SQLite supports full-text search and path finding for a knowledge graph through its FTS5 extension. This allows you to query structured entities and typed relations efficiently to track design decisions and project events.

The best way to track design decisions and project timelines using SQLite is by storing them as linked entities and typed relations, enabling provenance tracking and historical queries across teams.

To query relationships between tools and events in a SQLite database, you use the graph scripts to link, merge, and query typed relations, leveraging path finding and full-text search to retrieve connected data.

Yes, you need a local SQLite database and the graph scripts to ingest, link, and query data. The system relies on the better-sqlite3 dependency to manage entities and relations locally.