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…
FinRAG: Building a Financial Document Query System with RAG
Introduction In the fast-paced world of finance, where decisions hinge on timely and accurate information, I saw an opportunity to enhance how financial documents are queried and analyzed. That’s how FinRAG (Financial Retrieval-Augmented Generation) came to life. I built FinRAG to…
