Build an AI-Powered Equipment Repair Assistant Using Amazon Bedrock AgentCore

This article demonstrates building an AI-powered equipment repair assistant for agricultural machinery using Amazon Bedrock AgentCore, enabling technicians to diagnose issues and access repair procedures through natural language.

• Uses Amazon Nova 2 Lite model with Strands Agents SDK for intelligent diagnostics
• Bedrock Knowledge Base indexes equipment manuals, parts catalogs, and repair documentation
• AgentCore Memory maintains conversation history across sessions for context persistence
• Amazon Cognito handles authentication; AWS Amplify hosts the React web frontend
• Custom search_equipment_knowledge tool queries manufacturer documentation via retrieve_and_generate API
• DynamoDB stores equipment service tickets; CloudWatch and X-Ray provide observability
• Step-by-step deployment includes Knowledge Base creation, CloudFormation stack, agent configuration, and frontend deployment
• Extensible architecture allows adding new tools for parts ordering, inventory checks, dealer communication
• Production enhancements include Bedrock Guardrails, CloudFront/WAF protection, MFA, multi-region deployment

This solution reduces repair downtime and improves first-time fix rates by providing technicians with AI-powered diagnostic recommendations grounded in manufacturer documentation before on-site visits.