This interview podcast features David Yakobovitch interviewing Protik Mukhopadhyay, COO of Protecto.ai, a startup building Retrieval-Augmented Generation (RAG) solutions. The conversation explores RAG's significance in enterprise applications, focusing on its architectural patterns and addressing security concerns, particularly for sensitive data in healthcare and finance. Mukhopadhyay highlights key challenges in RAG implementation, such as data quality, handling edge cases, and managing operational costs, while emphasizing the importance of ethical considerations and responsible AI practices. Specific examples of successful RAG applications in creative writing, legal contract drafting, and customer support are provided, along with advice on choosing between on-premise and SaaS deployment models based on security needs. The interview concludes with a discussion of future trends in secure and privacy-focused AI, emphasizing the need for improved relevance and explainability in RAG systems.
