Architecting for Speed and Precision: My Blueprint for a Production-Ready RAG System

Building a generative AI application is easy; building one that is both blazingly fast and rigorously accurate is a completely different beast. Recently, as part of Challenge 2 for the Google Cloud Gen AI Academy (APAC Edition), I was tasked with moving beyond simple prompting and diving deep into System Design Thinking. The scenario was straightforward but challenging: design an architecture utilizing an LLM, a user query, and a custom knowledge base that delivers responses that are both accurate and fast.