Your question is Optimizing RAG Performance. Take a moment with it on the right.
Talk me through your thinking if you like. When you're confident, submit your answer and I'll grade it like a real screen (7/10 or better passes).
How would you optimize the performance of a RAG (Retrieval-Augmented Generation) system?
Discuss the full pipeline, including ingestion, chunking, indexing, retrieval, reranking, generation, caching, and model selection. Explain how you would measure quality, latency, cost, hallucination rate, and prompt-injection resilience, then prioritize optimizations under realistic production constraints.