Make Trusted Content Work in AI Environments

RAG (Retrieval-Augmented Generation) means an AI system retrieves content in real time to answer a query. Your content is accessed at the moment it's needed, not stored or incorporated into a model. Training is fundamentally different: it involves processing large datasets to shape how a model responds. With EBSCOhost AI Exchange, your licensed collections are used for real-time retrieval only. Training data licensing is a separate, optional agreement with its own terms.

EBSCOhost AI Exchange operates under the same data governance standards as EBSCO's existing academic products. Query data is not used to train models. Access is institution-authenticated, and user queries are not shared with publishers or third parties. FERPA and GDPR-compliant configurations are available, and EBSCO supports institutional data governance requirements including DPA and confidentiality agreements.

The opposite. EBSCOhost AI Exchange puts your library's collections at the center of AI-driven research. When AI tools retrieve content from your licensed holdings, that usage is tracked and attributed, giving you new, concrete data on the value your library's research content delivers. Your library becomes the trusted content layer AI depends on.

You don't need an AI engineering team to get started. EBSCOhost AI Exchange connects to your existing entitlements, and EBSCO's technical team manages the infrastructure. For institutions with existing AI initiatives, we also work directly with IT and vendor teams to fit your architecture.

EBSCOhost AI Exchange provides usage reporting that tracks how often your licensed content surfaces in AI-assisted research, including citations generated, queries served, and content accessed by source. This gives library administrators measurable evidence of subscription impact in AI workflows, which is increasingly important for budget justification and renewal conversations.