From Noisy Retrieval to Precision: Building a Production RAG Pipeline for Indian Tax Law
Building a Retrieval-Augmented Generation (RAG) system that performs well in real-world scenarios is rarely a straight path. My initial implementation started with a standard pipeline, but the evaluation results were not satisfactory. This blog walks through the iterative improvements I made—from data preparation to advanced retrieval and chunking strategies—that eventually led to a significantly better-performing system.
