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Amazon Bedrock 多智能体文档分类教程

Implement vector-prompt document classification using Amazon Bedrock

精选理由

用 Bedrock 搭多智能体,结合 Claude Haiku 分类保险文档。

AI 摘要

本教程介绍如何利用 Strands Agents SDK 在 Amazon Bedrock 上构建多智能体解决方案。方案结合 Claude Haiku 4.5 进行文本分析,并使用 Amazon Titan Multimodal Embeddings 进行视觉相似性搜索。三个专用智能体协同工作,能够准确分类保单和宣誓书等保险文档。

图片来源 · AWS Machine Learning Blog
原文 · AWS Machine Learning Blog

Implement vector-prompt document classification using Amazon Bedrock

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 such as policies and affidavits.