concept-synthesis

Concept synthesis transforms noisy note collections into structured knowledge by deduplicating raw concept stubs into canonical concepts. It applies tiering and cross-linking across large source corpora to produce an organized intellectual map.

Organize large note collections by running phase-wise scoring and tiering to categorize concepts into evolving tiers (T1–T4). The workflow writes canonical concepts and cross-links directly to your concepts directory using frontmatter-driven tagging.

Yes, you can generate cross-links across source timelines by synthesizing raw concept stubs within your note corpus. The workflow produces synthesis narratives that connect chronological source materials into a unified tiered concept graph.

The best way to structure raw notes is to apply frontmatter-driven tagging and tiering during the deduplication process. This enforces consistent metadata across canonical concepts and writes structured outputs to a dedicated directory.

Concept synthesis works for large source corpora by applying deduplication and phase-wise scoring across extensive note collections. It transforms noisy inputs into a structured tiered intellectual map with canonical concepts and cross-links.

You need to deduplicate concept stubs before building a knowledge map to prevent redundant entries and ensure conceptual clarity. Merging stubs into canonical concepts provides a clean foundation for accurate tiering and cross-linking.