ingest

To ingest diverse content like meeting transcripts and articles into a local-first knowledge base, this Skill routes and processes varied sources for indexing. It enables comprehensive search and analysis within your personal or professional system.

Entity detection and linking works by automatically identifying and connecting entities across your ingested documents. This ensures a connected, interconnected knowledge base that enables comprehensive search and analysis across all content types.

Yes, you can preserve raw sources for provenance during content ingestion. The Skill stores and preserves original documents, meetings, and media, ensuring verification and traceability for your local-first knowledge management system.

The best way to process a new article into a local-first knowledge management system is to route the content for ingestion, extract relevant information, and integrate it. This enables comprehensive search across your knowledge base.

Yes, content ingestion supports local-first data preservation for meetings and media. It routes and processes diverse content types while preserving raw sources, making it suitable for robust local-first knowledge management.