meeting-ingestion

To convert meeting transcripts into structured knowledge records, extract attendees, topics, decisions, and action items, then apply entity enrichment and bidirectional linking to connect the data across your knowledge graph.

Linking meeting notes to existing entities requires propagating participant, company, and project context across pages, merging meeting timelines, and applying bidirectional linking to connect related knowledge entities.

Yes, you can use this for client meeting transcripts and organizational knowledge management workflows by transforming discussions into searchable meeting pages with connected participants, decisions, and referenced entities.

You do not need to manually format meeting notes before processing them. The transcript parsing mechanism extracts attendees, topics, dates, and referenced entities directly from raw meeting transcripts to create structured pages.

When ingesting a meeting transcript, participant data is processed through entity enrichment to create or update people pages with meeting context, and bidirectional links are established to connect attendees to the meeting record.

Timeline merging limitations depend on the accuracy of transcript parsing and the existing entity structure. Incomplete transcripts or unlinked referenced entities may result in fragmented timeline updates across the knowledge graph.