process

To extract durable knowledge from notes in your Obsidian vault, you can use an interactive retrieval practice workflow that scans source notes, identifies key concepts, generates atomic Term/Note markdown entries, and creates wikilinks to connect related ideas.

Yes, you can use retrieval practice to process paper and book notes for Obsidian. The workflow validates supported source types like posts, lectures, courses, and clippings, then applies desirable-difficulty Q&A to surface key ideas before generating structured markdown.

The best way to link existing terms when processing new notes is by scanning the vault for related concepts during the extraction process. This identifies existing Term/Note entries to connect via wikilinks, or creates new atomic notes if the concept is absent.

You turn passive reading notes into atomic concepts using Obsidian by running an extraction workflow that applies elaborative interrogation and the generation effect. This guides you through concept abstraction, presents an extraction plan for approval, and outputs structured Term markdown.

Yes, you need to review an extraction plan before generating Term notes. The workflow scans your vault for related concepts and presents a proposed plan for your approval to ensure the properly structured markdown, wikilinks, and frontmatter updates match your knowledge graph.

You use desirable-difficulty Q&A for note processing instead of standard highlighting to improve long-term retention. This method applies the generation effect and cross-domain transfer to actively surface ideas you learned, transforming passive text into durable knowledge rather than just copying text.