Agentic engineering intelligence with Amazon Nova Multimodal Embeddings and Amazon Bedrock AgentCore
According to AWS. AWS details a multi-agent engineering assistant built to streamline component substitution evaluations using multimodal embeddings and Bedrock AgentCore.
- • Multi-agent orchestration routes queries across specialist agents to search knowledge bases and score candidates.
- • Amazon Nova Multimodal Embeddings enables joint semantic space retrieval for text and visual chart content.
- • The system acts as an evidence assembler and document drafter while keeping the engineer as the final decision-maker.
Solution overview
The post details how to build a multi-agent engineering assistant that cuts manual cross-referencing behind part substitution evaluation using Amazon Bedrock AgentCore, Amazon Nova Multimodal Embeddings, and the open source Strands Agents SDK. A planner routes work across three specialist agents that search a multimodal knowledge base, score candidates against deterministic tolerance rules, compare part photos, and ground lifecycle claims in live web data.
Architecture pillars
The assistant is built around the design rule that the engineer makes every decision while the system assembles the evidence. Three pillars define the architecture: deterministic spec-fit evaluation using Python tolerance-rule code, multi-agent orchestration via a lightweight planner, and a human-in-the-loop decision framework that drafts justification memos and Integration Impact Assessments.
- 1. aws.amazon.comOpen source