Rio Tinto Unlocks Potential of Generative AI with Amazon Bedrock and Hybrid RAG

Explore how Rio Tinto, a leading mining company, harnesses Amazon Bedrock to transform terabytes of unstructured data into actionable knowledge bases through advanced generative AI applications. Learn about the innovative Hybrid RAG approach that combines Graph RAG and Vector RAG techniques to generate more accurate and contextually rich responses from large language models. Discover how Rio Tinto developed a GAI chatbot that enables advanced graph-based retrieval-augmented generation, empowering enhanced decision-making, knowledge retrieval, and innovation across their mining operations. Gain insights into scalable solutions for handling big datasets and understand practical applications of generative AI in enterprise environments. The session features expertise from Benn Cizauskas, Senior Technical Account Manager at AWS, and Ke Shi, Senior Specialist Machine Learning Engineer at Rio Tinto, who share real-world implementation strategies and lessons learned from deploying generative AI at scale in the mining industry.