Multimodal retrieval augmented generation (RAG) is gaining traction as companies explore embedding images and videos alongside text. Experts recommend starting small to evaluate model performance and suitability, particularly in specialized fields like medical imaging, where fine details are crucial. Proper data preparation, including resizing images and integrating retrieval systems, is essential for effective multimodal searches, which are becoming increasingly popular as enterprises seek to leverage diverse data types.
