Artificial Intelligence1 min read

Agentic engineering intelligence with Amazon Nova Multimodal Embeddings and Amazon Bedrock AgentCore

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In short

The automated framework utilizes a lightweight planner that routes technical queries across dedicated Catalog, Evaluation, and Knowledge agents. Built with Amazon Nova Multimodal Embeddings, the system indexes diagrams, thermal plots, and datasheet charts alongside text into an Amazon S3 Vectors index. Deterministic Python code then scores candidate parts against reference components and specific tolerance rules. The resulting documentation supports formal engineering review workflows and audit trails aligned with AS9100 standards.

Key points

  • Engineers can search technical documents by submitting either descriptive text queries or…: Engineers can search technical documents by submitting either descriptive text queries or direct chart image uploads.
  • The multi-agent framework automates evidence gathering while leaving all final component…: The multi-agent framework automates evidence gathering while leaving all final component substitution decisions with the engineer.
  • Chained specialized agents can check live component lifecycles, locate replacements, and…: Chained specialized agents can check live component lifecycles, locate replacements, and draft complete Integration Impact Assessments.

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Artificial Intelligence

Agentic engineering intelligence with Amazon Nova Multimodal Embeddings and Amazon Bedrock AgentCore

When a qualified aerospace component goes obsolete or hits a long lead time, an engineer spends days cross-referencing specifications across vendor datasheets, interface control documents (ICDs), and qualification records before documenting a substitution justification for review. An incorrect substitution on a flight-critical component can cause mission failure, yet the evidence trail behind each decision is often spread across email and undocumented institutional knowledge, so there is no formal, repeatable package for a reviewer to check.

A previous post, Manufacturing intelligence with Amazon Nova Multimodal Embeddings, showed how the model retrieves answers locked inside engineering diagrams, thermal plots, and datasheet charts that text-only pipelines miss. This post picks up where that retrieval work left off, putting those capabilities inside a multi-agent system that assembles substitution evidence, from retrieval to a drafted assessment.

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…

Artificial Intelligence