1. A cascading learning system comprising: a request analyzer configured to receive a request for search terms from a client application, to determine term context in the request, and to normalize request data from the term context; a request dispatcher and classifier configured to classify and dispatch the normalized request data to a corresponding domain-specific module with a request dispatcher ranking calibrator; a search module container comprising a plurality of domain-specific modules, each domain-specific module configured to generate a prediction with a trained probability of an expected output using a corresponding domain-specific ranking calibrator; a terminology manager configured to receive normalized request data from the request dispatcher and classifier, and to manage terminology stored in a contextual network; and a cluster manager configured to control data flow between the request dispatcher and classifier, the search module container, the terminology manager, and a business data source system, the cluster manager comprising a central ranking calibrator, a training and set container, and a module generator configured to generate a pluggable module based on the training and set container to be integrated with the request dispatcher and classifier.