[nostrebored]

But why are you benchmarking against pgvector HNSW, which is known to struggle with recall and performance at large numbers of vectors?

Why is the graph measuring precision and not recall?

The feature dump is entirely a subset of Vespa features.

This is just an odd benchmark. I can tell you in the wild, for revenue attached use cases, I saw _zero_ companies choose pg for embedding retrieval.