CTERA says its new Data Intelligence offering supports retrieval-augmented generation (RAG) by linking its cloud file services data to customer-selected GenAI models and giving them real-time private context to help prevent inadequate responses.
GenAI chatbots can provide poor responses to user requests when relying solely on their generic training data sets. Giving them access to an organization’s proprietary data is like giving a hotel’s concierge staff access to its guest register so they know who is staying in the hotel and what their preferences are, making for a much better service. CTERA thinks that, while AI services offer some methods for uploading files, these integrations fall short in their ability to handle live enterprise file storage, impose extensive network and compute overhead, and expose organizations to sensitive data leakage.