Case Study: Qumulo boosts documentation search performance with Vectara

A Vectara Case Study

Preview of the Qumulo Case Study

Qumulo's search page becomes the 2nd-most-accessed on its Documentation Portal with Vectara

Qumulo, a leading file data platform, sought to revamp its search functionality across key web properties, including its Documentation Portal. Their challenge involved replacing basic keyword-based and CMS-specific search systems with a more advanced, AI-driven solution that could provide relevant results and summaries while avoiding vendor lock-in and managing costs. During their evaluation of alternatives, Vectara's flexibility and pay-as-you-go pricing met their key requirements.

Vectara provided an AI-powered search solution that was integrated into Qumulo's platforms, delivering comprehensive document searches and snippet-length summaries. The results were significant, with Google Analytics showing the search page quickly becoming the second-most-accessed page on the Documentation Portal, tracking up to 170 daily queries. This Vectara-powered enhancement boosted usability, enabled better content management decisions, and improved operational efficiency and user satisfaction.


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