Not whether sapedb should have an approximate index — HNSW and IVF are what most people mean by vector search, and the owner has put vectors into 1.0.0. The question is how a result that may be wrong is presented honestly, in a product whose central claim is that nothing it returns is silently wrong.
From the owner's measurements of HNSW, published in their own material on the subject: a configuration reporting 97.75% mean recall was, broken down, 192 queries at 100%, 3 at 90%, 1 at 80% and 4 at 0%. Not every answer slightly worse — roughly one query in fifty wrong entirely.
And an answer at 0% recall looks exactly like an answer at 100%: k rows, each with a distance, in order. Nothing in it says it is wrong.
That is the same shape this board has refused three times today. hashRange refuses at its ceiling because a digest of part of a range is indistinguishable from a digest of all of it. deleteRange returns a flag saying it stopped. ISS-35 refuses a number rather than store a neighbouring one. In each case the rule was the same: a wrong answer must not look like a right one. An approximate index, left alone, breaks that rule by construction.
The cost of an approximate search can be declared — ef_search,
nprobe, a probe ceiling are all numbers written down before the call runs. That part fits.
What does not fit is that the answer is probabilistic, and the probability is a property of the data
and the build, not of the declaration. The owner's own measurements show five builds of one identical
configuration landing between 97.75% and 99.75% — two points of spread from nothing but the
build.
Because the order of the decisions matters more than the order of the work. If approximate search lands first and without a marker, its results become part of what 1.0.0 promises, and marking them later is a change to the meaning of an answer that callers already rely on.