aws-solutions-library-samples/guidance-for-digital-thread-using-graph-and-generative-ai-on-aws

This Guidance demonstrates how to create an intelligent manufacturing digital thread through a combination of knowledge graph and generative artificial intelligence (AI) technologies. A digital thread offers an integrated approach to combine disparate data sources across enterprise systems, increasing traceability, accessibility, collaboration.

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This project helps manufacturing organizations consolidate fragmented knowledge spread across different systems and product lifecycles. It takes diverse manufacturing data and relationships, then transforms them into an interactive 'digital thread' accessible via a chat interface. Production managers, quality engineers, and supply chain analysts can use this to quickly find information and understand complex interdependencies.

Use this if you need to integrate disparate manufacturing data sources to improve traceability, accessibility, and collaboration across your product lifecycle.

Not ideal if your organization doesn't have complex manufacturing data relationships or if you are not operating within the AWS ecosystem.

manufacturing operations product lifecycle management supply chain visibility knowledge management industrial data integration
No Package No Dependents
Maintenance 6 / 25
Adoption 7 / 25
Maturity 16 / 25
Community 16 / 25

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25

Forks

6

Language

Python

License

MIT-0

Last pushed

Nov 06, 2025

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