Manufacturing intelligence with Amazon Nova Multimodal Embeddings | Amazon Web Services
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. A text query can retrieve an engineering diagram, and an image query can retrieve a written specification, because both modalities share the same coordinate system.
In this post, we build a multimodal retrieval system for aerospace manufacturing documents using Amazon Nova Multimodal Embeddings on Amazon Bedrock and Amazon S3 Vectors. We evaluate the system...
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