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If you work in aerospace, automotive, or heavy industry manufacturing, your organization likely maintains vast repositories of technical documents. These documents combine written specifications with engineering diagrams, CAD drawings, inspection photographs, thermal analysis plots, and fatigue curves. A text query about maximum wall temperature at the nozzle throat might have its answer locked inside a thermal contour plot rather than written prose. Text-only retrieval systems can’t surface that information because they don’t see the image content.

Amazon Nova Multimodal Embeddings addresses this gap by mapping text, images, and document pages into a shared vector space.…

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