Introduction In my journey of building and refining Retrieval-Augmented Generation (RAG) pipelines, I’ve encountered multiple approaches—Naive RAG, Self-RAG, and Graph RAG—each addressing distinct challenges in AI-powered question answering. While working on projects such as CONVAID (my text-to-SQL project) and document Q&A…
