Have you ever wondered exactly what happens behind the scenes when a
user types a query into the KnowledgeBase search bar, or why certain
documents rank higher than others? It is not magic — it is a carefully
engineered search platform designed to connect users with the most
relevant content as quickly as possible.
In this session, we will take a deep dive into the architecture of
KB search. You will learn exactly how the system calculates a document's
relevancy score using base search priorities, group ownership, keyword
similarity text scores, semantic top-15 AI boosts, real-time OS/browser
environment matching, and update recency.
You will leave knowing how to properly structure your titles,
utilize metadata fields, leverage situational boosts, and design your
documentation so it rises to the top of the search results pages when
your users need it most.