How I Doubled RAG Accuracy with Targeted Optimizations
This article walks through a comprehensive, step‑by‑step analysis of why RAG pipelines often underperform and presents concrete optimizations—including OCR preprocessing, table extraction, metadata enrichment, recursive chunking, embedding fine‑tuning, hybrid vector‑keyword retrieval, reranking, prompt templates, and a production‑grade Java implementation—backed by code snippets, benchmark figures, and evaluation metrics.
