# Amazon — Implement vector-prompt document classification using Amazon Bedrock

- Company: Amazon (amazon.com)
- Announced: 2026-08-18T17:10:37+00:00
- Subject: Bedrock / Nova
- Models affected: Claude Haiku 4.5, Amazon Titan Multimodal Embeddings G1
- Source: https://aws.amazon.com/blogs/machine-learning/implement-vector-prompt-document-classification-using-amazon-bedrock/
- Record: https://forck.live/items/4304-implement-vector-prompt-document-classification-using-amazon-bedrock

Amazon Bedrock is used in a multi-agent document classification solution that combines Anthropic's Claude Haiku 4.5 for textual reasoning and Amazon Titan Multimodal Embeddings G1 for visual pattern recognition.

## Evidence

Verbatim from https://aws.amazon.com/blogs/machine-learning/implement-vector-prompt-document-classification-using-amazon-bedrock/:

> This multi-agent approach combines the advanced reasoning capabilities of Anthropic’s Claude Haiku 4.5 with the visual pattern recognition of Amazon Titan Multimodal Embeddings available on Amazon Bedrock to achieve better classification accuracy.

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