Your question is RAG Architecture Components and Implementation. 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).
What are the key components of a RAG architecture, and how would you implement them?
Explain the end-to-end design, including document ingestion, chunking, embeddings, indexing, retrieval, reranking, prompt construction, generation, and evaluation. Discuss how you would control hallucinations, defend against prompt injection in retrieved content, and reason about latency and cost. Include implementation-level details and representative Python code using a modern LLM SDK.