When a computing device has an issue, a detector receives (or retrieves) data associated with the computing device. The data may include parameter key-value pairs. The detector creates queries based on the data and distributes the queries to one or more matching engines, such as an exact matching engine or a proximity matching engine. The one or more matching engines look for matches in an index of database documents. The results from the one or more matching engines are ranked based on relevancy scores. In some cases, users may provide feedback regarding the relevancy of the results and the feedback may be used to recalibrate how the relevancy scores are determined.