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Richer generated demo corpus content (theme systems, incidents, actions, risks, and artifacts) so Load demo corpus produces more distinctive, cross-linked documents.
Batched embedding worker requests that pack many short documents into shared model inference calls instead of one round trip per document.
Changed
Commit parsed ingest results in fixed-size store/layout batches so large drops update the graph in groups rather than once per file.
Scale the AI core with corpus size so the center orb stays readable against the expanded force-layout shell.
Skip IndexedDB original retention for reconstructable generated demo documents, avoiding thousands of redundant writes on demo load.
Serve and fetch the unversioned demo manifest with no-cache / no-store so desktop upgrades no longer keep a year-old cached corpus definition.