From research to your knowledge base
Try the capture workflow: extract metadata, edit your citation, add a sample summary, and create an Obsidian-ready literature note.
This demo runs in your browser with a sample paper and a prepared summary. It does not call AI or write to your Obsidian vault.
The paper introduces the Transformer, an architecture built around attention mechanisms. It studies machine translation without the recurrent or convolutional components used by earlier systems, and reports strong translation quality with more parallelizable training.
Overview paraphrased for this demo.
Extract the citation, review the fields, then capture your note.
Download the Markdown file and place it in your Obsidian vault.