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AI & Librarian
AI features in the library help teams catalog contexts faster, discover new resources, and understand content quality before opening every item.
Librarian cataloging
The Librarian agent can map organisations, campuses, courses, and other entities to the Learning Graph by analyzing names, descriptions, and existing content.
This mapping unlocks stronger recommendations, better topic filtering, and more accurate global discovery for that context.
AI-powered resource discovery
When a library needs more content, the Librarian can search external sources (including web and video platforms) for resources aligned to mapped Topics and Skills.
Discovered resources are added with metadata and can be further curated by educators before broad sharing.
If a local library search returns no strong matches, the Librarian can be used as recovery workflow to quickly bootstrap relevant content.
AI summaries on resources
Resources can include generated AI summaries that highlight what the content covers and who it is useful for. This reduces time spent opening low-fit resources and improves learner navigation.
Summary generation is a premium AI operation and follows token billing rules.
Growing a shared knowledge pool
Every high-quality resource discovered, tagged, and mapped improves future retrieval for other users and entities across the platform. Over time, the library becomes more useful because both human curation and AI enrichment feed the same knowledge graph.
Next steps
- Learning Graph AI Cataloging — deeper look at mapping workflows and graph updates
- Search & Discovery — how mapped topics are used during retrieval
- Tokens — AI cost model and token usage