RAG Beyond the Chatbot: Unlocking Enterprise Value with Retrieval-Augmented Generation

12 P.M. ET

Retrieval-Augmented Generation (RAG) is transforming how enterprises leverage their data assets through AI. By combining large language models with precise information retrieval, RAG enables more accurate, context-aware AI applications. While many organizations have focused on chatbots as the primary use case, RAG's potential extends far beyond conversational interfaces. From enhancing decision support systems to automating complex document processing, RAG offers enterprises a versatile tool to address a wide range of business challenges. As companies seek to extract more value from their proprietary data and improve operational efficiency, exploring diverse RAG applications becomes increasingly crucial.

Join Sam Charrington, founder of TWIML and host of the TWIML AI Podcast, and Henry Weller, Product Manager at MongoDB for an insightful discussion on the evolving landscape of RAG in the enterprise. This session will unveil RAG's full potential beyond chatbots, equipping technology leaders with essential concepts and a strategic roadmap to implement high-value generative AI applications while navigating common pitfalls.

In this interactive session, you'll gain practical insights into:

• Demystifying RAG core concepts and components
• Identifying and prioritizing high-value RAG opportunities within your organization
• Key implementation challenges and strategies to overcome them in enterprise environments
• The future of RAG and its potential to drive innovation and competitive advantage in your industry