meeting-ingestion

Meeting ingestion automates transcript parsing to create brain pages with mandatory attendee enrichment and entity propagation. It extracts attendees, dates, decisions, and actions, then merges timelines and syncs the brain index with bidirectional backlinks.

Timeline entries and cross-entity backlinks are generated by ingesting meeting transcripts to extract topics and actions. The workflow links all mentioned entities and merges timelines to maintain a consistent knowledge graph with bidirectional synchronization.

Yes, meeting-ingestion applies to transcripts from meetings, calls, and notes. It parses text to extract attendees, duration, topics, decisions, and actions, then creates structured pages with timeline integration and entity propagation.

Entity propagation for companies and projects is handled during meeting transcript ingestion. The workflow enriches attendees, propagates mentioned entities with mandatory linking, and updates timelines across the knowledge graph with bidirectional backlinks.

A meeting is not fully ingested until enrich runs for every entity. Attendee enrichment and entity propagation ensure mandatory linking, timeline merges, and bidirectional backlinks with synchronization across the knowledge graph.