Learning objectives
- • Choose chunking, embeddings, hybrid retrieval, and reranking strategies
- • Separate retrieval quality from generation quality in evaluations
- • Explain how security, freshness, and citations shape enterprise RAG design
Generative AI
RAG Architecture
Design grounded retrieval systems that balance recall, precision, latency, and cost.
Recommended on day 44120 minutesAdvanced
Interview prompts
- • How do you choose chunk size for a RAG system?
- • When do you add reranking rather than tuning the embedding model?
Prerequisites