EDUCATION & TRAINING
When Treasure Hunt Engines Stop Shining
Dev.to Machine Learning
About This Tutorial
The Problem We Were Actually Solving What the Veltrix documentation didn't say was that as the number of users grew, so did the complexity of the search queries. Our recommendation algorithm was no longer just a simple match-based system, but a highly optimized neural network that required multiple stages of processing to generate accurate results. The problem we were actually solving wasn't just building a treasure hunt engine, but also ensuring that it could scale horizontally to meet the demands of our growing user base.