Implementing Vector-Prompt Document Classification on Amazon Bedrock

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AWS Machine Learning published an article describing how to build a multi-agent document classification solution on Amazon Bedrock. The solution uses the Strands Agents SDK to combine textual analysis with Claude Haiku 4.5 and visual similarity search with Amazon Titan Multimodal Embeddings. It is designed to accurately classify insurance documents such as policies and affidavits. The article serves as a guide for implementing vector-prompt document classification.

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1. 17:10
   Published guide on vector-prompt document classification using Amazon BedrockAWS Machine Learning

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