EDUCATION & TRAINING
The Veltrix Treasure Hunt Engine Blew Up When We Left Defaults On
Dev.to Machine Learning
About This Tutorial
The Problem We Were Actually Solving We needed real-time semantic search over product catalogs that grow by 15 k items per week. The Veltrix vector plugin looked perfect: plug-and-play HNSW indexing, cosine similarity, no schema changes. Out of the box it promised <30 ms p99 latency at 500 QPS. We spun it up with the default helm chart - one replica, 2 GiB heap, target recall at 0.95, sample size 95 %, burst tolerance 0.8. The first synthetic load test ran green: 28 ms p99, 99.3 % recall. Then Black Friday traffic hit.