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A reference architecture (framework) to show case the generative AI capabilities and IoT Greengrass Edge computing with MongoDB Realm

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mongodb-partners/IoT_Greengrass_Realm_GenAI_framework

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AWS IoT Greengrass | AWS Sagemaker | AWS Bedrock | MongoDB Realm | MongoDB Atlas | MongoDB Atlas Vector Search

High level Architecture

architecture

Setup Instructions

Part 1. Set up Atlas Predictive Maintenance Backend

Set up Atlas Predictive Maintenance Backend

Part 2. Set up Edge Gateway and Vehicle Simulator

Set up Edge Gateway and Vehicle Simulator

Part 3. Set up AWS Backend for Edge Gateway Greengrass Runtime Telemetry

Set up AWS Backend for Edge Gateway Greengrass Runtime Telemetry

Part 4. Set up AWS Backend for Predictive Maintenance

Set up AWS Backend for Predictive Maintenance

Part 5. Set up the Backend for the Chat Assistant

Set up AWS Backend for the Chat Assistant

Part 6. Set up Field Technician's Mobile Application

With the previous steps done, vehicle telemetry would flow to MongoDB, then to AWS and finally be used to do predictive maintenance. If we determine a vehicle needs service, a vehicle maintenance job is created in MongoDB. These are shown in this mobile application.

Set up Field Technician's Mobile Application

Part 7. Set up Fleet Dashboard

The Fleet dashboard shows all vehicle maintenance jobs, vehicle information, and parts inventory.

Set up Fleet Dashboard holds the code for the web dashboard. This shows information about the fleet.

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A reference architecture (framework) to show case the generative AI capabilities and IoT Greengrass Edge computing with MongoDB Realm

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