AI Leadership Insights: Agentic RAG
Techstrong.ai, Monday, November 4th, 2024
In this Techstrong AI video interview, ABBYY CTO Patrick Jean explains how agentic retrieval augmented generation (RAG) will unlock the value of generative artificial intelligence (AI) investments in the enterprise.
In this episode of the Techstrong AI Leadership Insights show, host Mike Vizard sits down with Patrick Jean, chief product and technology officer at ABBYY, to discuss advancements in Retrieval Augmented Generation (RAG) and the emerging concept of 'agentic RAG.'
Patrick explains that while traditional generative AI models produce text based on learned data, RAG models enhance this by retrieving real-time information, ensuring outputs are current without retraining. Agentic RAG takes this further by introducing autonomy, allowing systems to not only generate information but also perform actions and make decisions, approaching tasks with a level of hierarchical planning that resembles human thought processes.