ingest

To automate content ingestion into structured research notes, provide a URL or local file path to fetch web pages or read Markdown, PDF, CSV, or TXT files. The system validates content, applies metadata tagging, and generates notes with summaries and evidence for research organization.

Yes, you can prevent duplicate research sources during content ingestion using built-in deduplication validation. The system checks for redundant sources within the same day or across days, actively blocking duplicate ingestions to maintain content validity.

Supported file formats for automated ingestion into a research vault include Markdown, PDF, CSV, and TXT. The system reads these local files or fetches web pages, preparing the diverse content types for analysis and structured note generation.

Yes, the content ingestion tool works without specifying individual file paths. You can run it without arguments to automatically process all files currently sitting in your inbox, preparing them for analysis and note structuring.

When generating structured notes from ingested content, the metadata includes detailed summaries, evidence, and key segments. This comprehensive tagging enhances research organization and retrieval across your structured research vault.