Tuesday, August 25, 2026

AI RAG, CAG, and the Layer Neither One Governs

 


Why Retrieval and Caching Strategies Still Depend on a Defined, Owned, Controlled Process Underneath with IPE Deployment Framework

Explores the critical relationship between AI knowledge delivery architectures and underlying process governance. While Retrieval-Augmented Generation (RAG) and Cache-Augmented Generation (CAG) offer different technical methods for providing information to models, neither system can inherently guarantee that the source data is accurate or authorized.

The author introduces Integrated Process Excellence (IPE) as a foundational framework designed to define, document, and control business processes before they are ever indexed or cached. By prioritizing process integrity over tool selection, organizations ensure that their AI outputs are grounded in reliable, owned, and current operational data.

Ultimately, the source argues that achieving return on investment in AI requires a "process first" approach to establish a trustworthy source of truth for any technical delivery system.

 

For the article:

https://drive.google.com/file/d/1HrUB9wtst-TFDQmxXE-5602-PmugYnxE/view

For the video:

https://youtu.be/PwRnyBby0sc

 

John Cachat

johncachat@ipe.services

www.ipe.services

 

 

Reference Material

Books on Amazon

https://www.amazon.com/stores/John-Cachat/author/B0G4NB66MD

LinkedIn Articles                   

https://www.linkedin.com/in/johncachat/recent-activity/articles/

YouTube Videos

https://www.youtube.com/@ipeservices/videos


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