AI Search High QPS

Lets you set a target queries per second on a standard AI Search endpoint, and Databricks provisions extra capacity to reach it on a best-effort basis; without it a standard endpoint serves roughly 20 to 200 QPS depending on index size. You set the target under Advanced Settings in the endpoint UI, or with target_qps in the Python SDK or REST API. The extra capacity is billed whether or not traffic uses it, it does not autoscale, storage-optimized endpoints are not supported, and only queries sent to the index URL with service principal OAuth get the higher throughput. It was documented as a Beta and then a Public Preview under the Vector Search name before it became generally available on July 15, 2026.

Status and dates are extracted from public sources only. We don't see the private AE-shared roadmap. If something looks wrong, tell us.