Engineering·14 min
Vector search over archival prose: what actually worked
Our journey through pgvector, embedding choices, and the strange semantic texture of 19th-century correspondence.
20 May 2026Read →
Blog & resources
Writing on archives, AI, and standards.
Long-form pieces from the team — the engineering behind Archively.AI, and our view on where archival practice is going. Subscribe below and we'll email new posts.
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Case study·7 min
From spreadsheet to finding aid: a six-week pilot
How a specialist library moved from a CSV catalog to a published finding aid, without hiring a developer.
13 May 2026Read →
Standards·6 min
EAD is dead. Long live EAD.
Thoughts on encoded archival description in 2026: still necessary, still ugly, still the only way to interop across national aggregators.
6 May 2026Read →
Engineering·10 min
Transcribing oral histories: word-level confidence matters
The difference between 'good enough for search' and 'good enough to cite' is visible at the word level. A tour of our transcription pipeline.
29 Apr 2026Read →
Engineering·10 min
Mapping ISAD(G) to a relational schema without losing your mind
Fonds, series, items — and the many-to-many headaches that emerge when you try to store provenance faithfully.
22 Apr 2026Read →
Archival practice·12 min
AI drafts, curators decide: the case for three-layer state
How we separate AI output, curator review, and published snapshots — and why collapsing those layers is where most tools go wrong.
15 Apr 2026Read →
Archival practice·8 min
Why we built Archively.AI on standards, not promises
Every catalog tool claims to be 'ISAD(G) compliant'. Here's what that actually means in our data model — and what we refused to compromise.
8 Apr 2026Read →
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See the platform behind the posts — upload a collection, let AI draft the description, and publish a standards-compliant record.