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AgentsThe story, in brief

Implement vector-prompt document classification using Amazon Bedrock

Three specialized agents working in concert: how Amazon Bedrock is enabling multi-agent document classification at scale.

Reporting by AWS Machine Learning Blog 1 min brief
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AI agents and the coordination of work.AI illustration by KeyNews
The KeyNews take

Why it matters

A practitioner's blueprint for building agent systems that combine text and visual analysis using Bedrock's orchestration and Claude Haiku 4.5. Shows how agents move beyond single-task chatbots into multi-step, domain-specific workflows.

The key facts

6 to know

  1. Multi-agent architecture using Strands Agents SDK on Amazon Bedrock

  2. Three specialized agents combining textual analysis + visual similarity search

  3. Claude Haiku 4.5 as the reasoning backbone

  4. Amazon Titan Multimodal Embeddings for visual classification

  5. Insurance document use case (policies, affidavits)

  6. Published Aug 18, 2026 — AWS ML blog (vendor how-to)

Go to the source

AWS Machine Learning Blogaws.amazon.com

Publisher excerpt: Learn how to build a multi-agent document classification solution on Amazon Bedrock using the Strands Agents SDK. Three specialized agents combine textual analysis with Claude Haiku 4.5 and visual similarity search with Amazon Titan Multimodal Embeddings to accurately classify insurance documents…
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