Retrieval-Augmented Generation is reshaping how market research teams use AI, but not all RAG architectures are created equal. This article explains the differences between Vector RAG, Graph RAG, and Hybrid RAG, why Evals are essential for reducing hallucinations, and how STRATEGENCE’s RAGE approach turns AI into a decision guidance system grounded in market research rigor.

At STRATEGENCE, we examined 30+ frontier generative AI models and found that even the most advanced "genius agents" need structure. By treating them like curious 5th graders, we use our ART (Alignment, Relevance, Triangulation) + RAG approach to guide, prompt, and enrich their outputs, turning fragmented data into reliable insights and real market advantage.