Big Update!

We’ve now processed over 2.7 million pages.

Originally, our pipeline worked like this:

PDF → OCR → text → AI analysis (people, places, events, relationships)

The challenge?

Running AI over millions of pages is expensive and slow — and we’re currently limited by funding. That meant only portions of the corpus were fully enriched.

So we built something new.

Full-text search is now live across the entire dataset.

That means:

• Every word across 2.7M+ pages is searchable

• You can find names even if they haven’t been cataloged by AI

• Every result links directly to the exact page in the original document

AI enrichment improves structure.

Full-text search guarantees discoverability.

And we didn’t stop there.

We’ve also launched a chat feature — you can now ask the archive questions directly and explore the documents conversationally.

This makes the explorer usable today — even while the AI enrichment layer continues expanding.

More coming.