xiaozhi-cornell-notes

Yes, you can archive Cornell notes by uploading photos of your physical classroom notes. The system processes the photo ingestion, automatically extracts the core content, and stores it in a structured Notes DNA archive with metadata tagging for easy retrieval.

A Notes DNA archive helps with cross-disciplinary knowledge linking by storing extracted cues and summaries with metadata tags like keywords, dates, and topics. This structured storage enables on-demand retrieval and proactive prompting to connect concepts across different subjects during study and revision.

Yes, you can retrieve specific Cornell notes during error analysis and revision through on-demand prompting. The system allows you to query the Notes DNA archive using keywords, dates, topics, or custom prompts to surface relevant notes exactly when needed.

The best way to organize static class notes into a searchable knowledge network is to automate the extraction of cues and summaries, then tag them with metadata. This transforms unused notes into a dynamic archive that actively prompts you with relevant information during study sessions.

No, you do not need to manually tag metadata when archiving study notes. The system handles metadata tagging automatically during the AI-driven extraction process, assigning keywords, dates, and topics to enable seamless cross-subject exploration and proactive retrieval.