#rag

Intermediate tutorial: Use one table to see the five layers of an AI product, from compute to agents, and decide how deep to go based on your target role. Then have your AI agent coach you with scenario questions about a product you know, run a side-by-side test of two options on the same task, and turn the results into a one-page trade-off report you can take to an interview. Includes 3 copy-ready prompts.

Beginner tutorial: Regular RAG 'retrieves once, then answers', while Agentic RAG 'checks its own results after retrieving, and if they fall short, rewrites the query and searches again'. Covers the loop, suitable scenarios, and things to watch out for.