Retrieval-Augmented Generation (RAG) has become a cornerstone of enterprise AI adoption. But without the right design, RAG pipelines can lead to inefficiency, redundancy, or hallucinations. In this blog, we explore proven strategies for optimising RAG architectures—covering retrieval quality, latency reduction, context management, and scalability. Learn how enterprises can achieve higher accuracy, lower costs, and more reliable AI outcomes by building smarter RAG pipelines.