Build efficient Retrieval-Augmented Generation systems (RAG) for multi-modal data. Overcome RAG challenges, like scalability, accuracy

Join us for an in-depth look at Retrieval-Augmented Generation (RAG) and multi-modal data integration, with two expert led sessions designed for tech leads, developers and data experts.

See real prototypes in action as you learn to build efficient RAG systems capable of processing diverse data – text, images, tables and video – powered by generative AI.

Learn effective strategies to improve RAGs performance, tackling toughest challenges like accuracy, scalability and real-time data integration in enterprise applications.

Hear from Taras Hnot, Principal AI Consultancy Lead from SoftServe, a global leader in technology consulting and digital transformation, and Asaad Almutareb, Founder of Artiquare, an AI-driven startup pioneering intelligent, knowledge-driven automation.