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No crash. No error. Search just quietly got worse right after we swapped the embedding model.
What you'll have at the end
A one-query health check that flags any index mixing vectors from two different embedding models.
You need
A working index already holding vectors from one embedding model, plus a reason you're about to add or switch to a different one: a cost cut, a quality upgrade, or a provider retiring the old one.
Not covered
A model swap that also changes the vector's dimension, which most vector databases reject outright at write time; this covers the same-dimension swap that goes in silently instead.
Leans on
Verify your first embedding works
go there first if you don't yet have a working embedding call to check whether your own index is mixed
Pick an embedding model from the MTEB leaderboard, then verify it on your data
go there before the next swap, to settle on a model deliberately instead of finding out it changed after the fact
Checked 15 Aug 2026
Part of the Embeddings cookbook