RAG + Synthetic Data: The New Blueprint for Building Accurate AI Models

Synthetic data is evolving, and Retrieval-Augmented Generation (RAG) can make it dramatically more accurate and domain-grounded. In this video, I walk through how combining RAG + SDG allows you to generate high-quality, regulation-aware datasets, especially for sensitive fields like healthcare, finance, and legal compliance. Using the ICMR Guidelines as an example, I demonstrate: • How context improves the accuracy of generated datasets • A side-by-side comparison: with vs. without RAG context • When fine-tuning becomes necessary • How RAG-supported SDGs can also create better evaluation data…