Chris Albon

I build systems at the intersection of AI and knowledge.

Chris Albon

Your visit helps build an open map of congressional hearings. While you browse, all-MiniLM-L6-v2 runs on your computer and turns passages into embeddings: lists of 384 numbers that represent their meaning. We compare those numbers to connect similar passages across hearings. Each completed embedding is saved to a shared collection. New transcripts get priority as visitors work through the archive. You can inspect the numbers, download the embeddings, or pause the model at any time.

Selected congressional members’ remarks, across subjects, from GovInfo. Collection and reuse.

0 passages added by your visit
Preparing the model…
A map made by its visitors added by you
The first passages will appear here.Every point is a passage from a congressional hearing.
384 dimensions projected onto 2 dimensions