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Developers gain a concrete pattern for building production document classification workflows that leverage both LLMs and multimodal embeddings on a managed platform, while enterprises can evaluate Bedrock's agentic capabilities and cost-effectiveness (Haiku pricing) for document-heavy workflows.
AWS published a tutorial on building a multi-agent document classification system using Amazon Bedrock, combining Claude Haiku 4.5 for textual analysis with Amazon Titan Multimodal Embeddings for visual similarity search via the Strands Agents SDK. The solution demonstrates practical enterprise use—classifying insurance documents like policies and affidavits—using agentic workflows and multimodal AI capabilities.
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CoFabrix summarises and comments on this story. The original reporting belongs to AWS AI/ML.
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