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## Problem We want to regularly verify the performance of pgvector HNSW parallel index builds and parallel similarity search using HNSW indexes. The first release that considerably improved the index-build parallelism was pgvector 0.7.0 and we want to make sure that we do not regress by our neon compute VM settings (swap, memory over commit, pg conf etc.) ## Summary of changes Prepare a Neon project with 1 million openAI vector embeddings (vector size 1536). Run HNSW indexing operations in the regression test for the various distance metrics. Run similarity queries using pgbench with 100 concurrent clients. I have also added the relevant metrics to the grafana dashboards pgbench and olape --------- Co-authored-by: Alexander Bayandin <alexander@neon.tech>