Announcement
No One Wants Another Subscription
We're retiring monthly subscriptions at Eno PDF in favour of a simple credit-based system — top up $15 at a time and pay only for the AI searches you actually run.
Blog
RSSAnnouncement
Announcing eno 0.7 — Evidence Based AI
eno 0.7 is our biggest release ever - a complete rethink of searching documents built around Ask Eno, which answers plain text questions using only the documents you trust.
Development
RAG for PDFs: Why You Don't Need a Vector Database
Why the standard approach to building RAG pipelines for PDFs is more complicated than it needs to be - and what to do instead.
· Gordon Cassie
RAGLLMAIPDF
Development
Searching for Unknown Unknowns
How we built a soak testing system that combines randomized fuzzing with LLM-driven scenarios to find unknown crashes in our Zig desktop application.
· Seb Hein
ZigAutomated TestingClaudeMCP
Announcement
Introducing eno pdf reader 0.5 — show, don't tell
eno 0.5 introduces Pinned Searches — overlaid AI annotations that let you read your documents alongside the AI, building your own understanding of the source material.