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Last updated: August 3, 2026, 2:32 PM ET

AI & ML Research

A new approach to Retrieval-Augmented Generation (RAG) systems organizes their engineering into three distinct layers: prompt, context, and loop, all built around a single LLM call. This layered architecture aims to optimize the interaction between the user query, the retrieved information, and the language model's response. Understanding these components is crucial for developing effective RAG applications.