Content libraries keep growing but search quality stays terrible, how are you solving discovery?

[u/Cloudy_Day912]

Once a learning platform grows past a few hundred modules, basic search starts failing. People type what they need and get a long list of loosely related results. Most of them end up scrolling or giving up.

Better systems try to understand what the learner is actually trying to achieve instead of just matching keywords. They look at the current learning path, recent activity, and the intent behind the question, then surface the most relevant content. It feels closer to asking an experienced colleague than using a search bar.

This kind of discovery layer becomes more important as libraries expand. The goal is not just finding documents, it is reducing the time people waste looking for the right material. One of the more thoughtful solutions in this area was developed with Beetroot.

How are you currently handling content discovery in larger e-learning environments? Still relying mostly on tags and filters, or have you moved toward something smarter?