GenAI Engineering

RAG that actually works, how to measure it, and agents that survive production: the corrections and one-liners worth saying out loud.

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Up next1.1 · Debugging a wrong RAG answer3 min

What you'll learn

Debug a wrong RAG answer by telling retrieval failures from generation failures.
Improve retrieval with chunking, hybrid search, reciprocal rank fusion and reranking.
Measure RAG with retrieval metrics, Ragas generation metrics and LLM judges you can trust.
Design agents for production: the loop, how they fail, and what they may touch.
Choose between prompting, RAG and fine-tuning, and cut cost with prompt caching and LoRA.

Learning roadmap

14 lessons · 4 quizzes

1. Make RAG work4 lessonsdebugging, chunking, hybrid search, reranking

2. Measure it3 lessonsretrieval metrics, generation metrics, LLM judges

3. Build agents4 lessonsthe loop, failure modes, permissions, when to split

4. Customize and ship3 lessonsprompt vs RAG vs fine-tuning, caching, LoRA