Use Denodo and data fabric to enable RAG implementation

Large Language Models (LLMs) and Generative AI possess significant transformative potential for various industries but face challenges due to their lack of intrinsic business-specific knowledge. The Retrieval Augment Generation (RAG) architecture offers a solution by equipping these AI models with contextual knowledge, thereby enhancing their effectiveness within enterprise settings.

Join us for this session where Felix Liao, Product Management Director APAC, will highlight how Denodo can be used to simplify and accelerate RAG implementations. By offering a unified and secure data access layer, Denodo can help integrate enterprise data repositories into the RAG process easily as well as improve the accuracy of LLM powered AI agents and chatbots.