Why RAG is the missing link in enterprise AI | Box AI Explainer Series EP 1
Blog post from Box
Box’s AI Explainer Series episode examines Retrieval-Augmented Generation (RAG) as a way for enterprises to combine foundation models with current, business-specific information rather than relying solely on static training data. Featuring Box CTO Ben Kus and senior product marketing manager Meena Ganesh, the video explains how RAG retrieves relevant organizational content at query time to improve response accuracy, provide enterprise context, and reduce hallucinations. It also discusses Box’s practical use of RAG and outlines considerations for CIOs as generative AI becomes more integrated into business platforms and workflows.
Use this post, company, and trend context to find content marketing opportunities, perform competitive analysis, or address product feature gaps via the Plushcap MCP server or the Plushcap API.