Financial technologists are being challenged to incorporate Generative AI into their workflows, particularly when workflows involve, say, proprietary data and market data in addition to unstructured data, such as Twitter feeds or analyst reports. Terms like RAG (Retrieval Augment Generation) and “vector database” are littering desks that engage with AI and analytics. In this session, Ryan gives a background into the recent AI explosion and the new lexicon, and in particular highlights the vector database as a repository of stored enterprise knowledge. He will demonstrate several examples that use contextual intelligence sourced from unstructured data using the KDB.AI vector database.