In the age of large language models (LLMs), Retrieval-Augmented Generation (RAG) is emerging as a powerful pattern that blends the strengths of retrieval-based systems and generative AI. It solves a key limitation of LLMs — limited context and outdated knowledge — by dynamically bringing in relevant information during inference. What is a RAG Pipeline? RAG…