Glean
AI / ML EngineerComplexAug 6, 2026

Migrate permission-aware embeddings before provider retirement

A model replacement can look local until its representation reaches every retrieval path.

Better benchmark scores may conflict with migration risk, serving cost, and the evidence required for trust.

I can accept a planned change, but not a surprise drop in what people can find.

Birke Seyoum · Enterprise Knowledge Platform Owner

Accountable for reliable internal search across business-critical systems during a platform transition.

What pulls against what

  • provider deadline vs. verification depth
  • benchmark relevance vs. permission-safe behavior
  • migration certainty vs. model flexibility
  • cost predictability vs. retrieval quality

What is at stake

The provider deadline is fixed, while the migration cannot be cheaply reversed. The chosen model must prove relevance, access-aware behavior, and operational viability before the index changes

Why Glean

At Glean, this often matters because retrieval quality and access-aware behavior must remain dependable through platform changes.

Written for

ML systems engineerretrieval infrastructure specialistproduction evaluation engineer

This is the setup. The work is inside.

Running it puts you in the room: the full situation and its constraints, stakeholders who push back in their own words, and the decisions that are yours to make. What you produce becomes a Day One Plan — work you can show someone instead of describing.