The previous chapter explored how retrieval-augmented generation (RAG) enhances large language models (LLMs) by grounding their responses in enterprise-specific knowledge. You learned how to set up a RAG infrastructure, design prompt flows that leverage external knowledge, and manage connected data stores. Now, let’s shift focus from text-driven intelligence to the expansive world of multimodal AI.