The post discusses the classification of queries in Retrieval-Augmented Generation (RAG) and emphasizes the importance of context and user intent. It highlights the levels of RAG queries, ranging from explicit fact queries to hidden rationale queries, and explains how Agentic RAG, which aligns with the concept of Agentic X, can enhance reasoning and decision-making across various contexts.
Table of contents
Four Levels of RAG — Research from MicrosoftIn ShortIntroductionUser Intent DetectionRAG Data ClassificationSort: