In this podcast episode, Srini Penchikala interviews Nikolaos Vasiloglou about the impact of generative AI and knowledge graphs in data analytics. Vasiloglou highlights the significance of GraphRAG, a concept that combines generative AI with knowledge graph technology, aiming to create value in enterprise environments while managing costs. He shares insights from his experiences engaging with Fortune 500 companies and academic circles, emphasizing the need for innovative strategies to leverage AI effectively and economically, thus addressing the pressing question of maximizing ROI in related applications.
The biggest question is how can we create value and at the same time at a reasonable cost. GraphRAG seems to be one of the directions that starts creating returns.
Technologies like generative AI, large language models or LLMs, and the retrieval augmented generation or RAG, have been getting a lot of attention in recent years.
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