From RAG to Richness
You’ve probably heard of Retrieval Augmented Generation (RAG) in the context of Generative AI before – it’s powering many of the GenAI solutions that are in production. But GraphRAG is breaking new ground solving problems that RAG alone is unable to, with some startling results.
Bill Wilson and Rebecca Modiano from NTT DATA have done many presentations on their work and thought it was time to address the frequently asked questions, with NTT DATA Knowledge Management specialist Paul Scott in the chair.
You will hear how their solution to understand enterprise-wide IT documentation and even generate new designs automatically has involved them in a journey of many Gen AI buzzwords including multi-model AI and agentic solutions.
The podcast is a general discussion of the concepts, to see how we applied this approach to Virgin Media O2 – and to dive deeper into automated design production - please download the report below.
This podcast is for a technical audience who want to know more – and for anyone with a complex and potentially messy knowledge management landscape.
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