High-throughput vector indexes now generally available and free

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