RAG Explained: The Most In-Demand Pattern in AI Engineering

The piece presents RAG, or retrieval-augmented generation, as one of the most in-demand patterns in AI engineering.

RAG improves model answers by pulling in external information, making it a key LLM architecture trend.

It highlights the growing importance of combining information retrieval with generative AI in system design and deployment.

The article frames RAG as central to modern AI engineering and the broader generative AI ecosystem.