ingest

To route inbound content with entity detection and provenance, you can use an automated ingestion router to parse sources, detect notable entities, create cross-linked pages, and update timelines while enforcing mandatory citations and preserving raw source data.

The best way to ingest meeting notes and articles with backlinks is to use an automated filing workflow that applies consistent routing rules, generates cross-links between detected entities, and enforces inline citations for every inbound item.

Yes, you can apply consistent filing rules to conversations and media files. The ingestion router handles various inbound formats uniformly by detecting entities, updating timelines, and preserving raw sources across all content types.

You can enforce mandatory citations and raw source preservation during automated content ingestion by configuring a router-like workflow that requires provenance tracking, generates back-links, and stores original source data alongside extracted entities.

Yes, automated content ingestion works with timeline updates and cross-linking. The parsing process automatically identifies notable entities, creates dedicated pages for them, establishes cross-links, and integrates the information into existing timelines.

You can configure a router-like workflow for content ingestion by defining filing rules and routing logic through frontmatter configuration and agent calls, allowing the system to automatically parse and process inbound items.