High-throughput vector indexes now generally available and free

What this post added

This post announces the general availability of p2 pods, which utilize a new graph-based index for significantly improved search speeds (up to 10x faster than p1) and higher throughput (up to 200 QPS per replica). It highlights that p2 pods are now 50% lower in cost, support dot product distance metrics in addition to cosine and euclidean, and are available on the Starter (free) plan. The post also provides guidance on when to consider p2 pods for low-latency (<10ms) and high-throughput (>100 QPS) applications, with sample query latencies and throughput examples for different pod sizes.