The Challenges of RAG in Production and Ways to Address Them
RAG seems simple — until you try it in production. Learn why real-world Retrieval-Augmented Generation breaks down, and how to build smarter pipelines that actually work.
Inside our team, AI-native engineering did not start with a bold mandate or a full rewrite of our software development lifecycle. It started with experiments, skepticism, broken demos, messy code reviews, and long conversations about what “good engineering” even means when a non-human can write half your code. This is what AI-native engineering actually looks like for us — not as a concept, but as a working process. In this article, I’ll guide you on how our team approaches A
RAG seems simple — until you try it in production. Learn why real-world Retrieval-Augmented Generation breaks down, and how to build smarter pipelines that actually work.
