The AWS Machine Learning Blog describes how to build a document classification solution on Amazon Bedrock using the Strands Agents SDK. The approach relies on three specialized agents that work together to classify documents. It combines textual analysis, performed with Claude Haiku 4.5, and visual similarity search, powered by Amazon Titan Multimodal Embeddings. The stated use case is classifying insurance documents such as policies and affidavits.
Why it matters
Document classification is a common workflow in industries that handle large volumes of paperwork. By pairing text-based and visual approaches within a multi-agent design, the solution aims to improve classification accuracy for structured document types.
Who should care
Teams working with Amazon Bedrock and the Strands Agents SDK, particularly those handling insurance or similar document-heavy processes, may find the described architecture relevant.