Leila Fielding
Why I picked it
Search results get closer to what people actually mean, using the learner's job and language.
Where it helps
Someone searching "handling difficult conversations" finds the right course even when its title uses different words.
Watch out: The richer results only work once the enrichment and indexing processes are set up.
From Oracle's note
The 26D enhancement adds richer context to Learning Catalog Search Advisor: AI-generated learning metadata, the learner’s preferred or session language, job-related context and, for supported self-paced items, indexed content itself. That can help match natural-language requests to relevant learning, prioritise results for the learner’s context and restrict recommendations to material they can access. Learning enrichment is optional, but the advisor will not use the richer metadata or content grounding unless the related profile options, enrichment process and summary indexing are configured.
- Enrich learning items with suggested skills, topics, summaries, objectives and ideal-learner details.
- Use preferred or session language and job context to shape search results.
- Ground matches in content for supported self-paced learning types.
Setup requires profile options plus the enrichment and summary-generation processes; enrichment is optional but recommended. It applies to active Redwood-compatible learning types, and content indexing is limited to supported self-paced items. Dynamic Skills is no longer required.
Last reviewed November 2026