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AWS details building a multi-agent engineering assistant with Amazon Bedrock AgentCore

Learn how to build a multi-agent engineering assistant using Amazon Bedrock AgentCore, Amazon Nova Multimodal Embeddings, and the open source Strands Agents SDK.

AWS details building a multi-agent engineering assistant with Amazon Bedrock AgentCore — image from AWS
Image: AWS

Summary

AWS published a guide on building a multi-agent engineering assistant to cut manual cross-referencing for part substitution evaluation. The system uses Amazon Bedrock AgentCore for orchestration, Amazon Nova Multimodal Embeddings for multimodal retrieval and visual similarity scoring, and Claude models for routing, execution, and synthesis.

What changed

  • A planner routes work across three specialist agents that search a knowledge base, score candidates, and check live web data.
  • Amazon Nova Multimodal Embeddings handles multimodal retrieval and visual similarity scoring for parts.
  • An Amazon S3 Vectors index enables image-as-query retrieval for matching charts and photos.

Availability

Available now

“In this post, we show how to build a multi-agent engineering assistant that cuts the manual cross-referencing behind part substitution evaluation using Amazon Bedrock AgentCore , Amazon Nova Multimodal Embeddings , and the open source Strands Agents SDK .”

Founder takeaway

Review the sample code and five Jupyter notebooks provided in the GitHub repository to test the multi-agent engineering architecture using Amazon Bedrock AgentCore and Amazon Nova Multimodal Embeddings.

Source

AWSAgentic engineering intelligence with Amazon Nova Multimodal Embeddings and Amazon Bedrock AgentCore | Amazon Web Services

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