How to Test a RAG Pipeline: AI Testing Interview Playbook
The 4-pillar answer interviewers want, with real Pytest + DeepEval tests, diagrams and 8 follow-up questions.
- ai testing notes
Look inside
The first 3 pages of 17, exactly as you get them. Swipe, then tap a page to enlarge it.
Get it free to unlock all 17 pages
What is inside
- The full mapOne-page mind map of everything you must test in a RAG system
- Where RAG breaksArchitecture diagram with the 6 places bugs hide, from ingestion to citations
- Retrieval testingPrecision@k and Recall@k explained with real numbers, plus a working Pytest test
- Answer testingFaithful vs correct, exact checks first, LLM-as-judge second, with DeepEval code
- Security testingDirect and indirect prompt injection, data leak tests and the canary trick
- Debugging flowchartFind out in 3 questions whether retrieval, context or generation failed
- CI quality gatesGitHub Actions workflow and release gates you can defend in an interview
- Golden datasetHow to design test cases, with a ready JSON template
- The 2-minute answerA full spoken answer plus a 30-second version for quick rounds
- 8 follow-up questionsThe questions interviewers ask next, with short model answers
- Practice scenarios6 real interview scenarios and a 10-minute rehearsal plan
17-page PDF (A4). 5 diagrams, 6 code examples in Python (Pytest + DeepEval + GitHub Actions). Beginner friendly, no ML background needed.
What changed
- 2026-11-02. First release: 14 interview questions, 5 diagrams, 6 Python code examples
From Jatin
Jatin Shharma
12+ years in test automation at Infosys, HERE Maps (originally Nokia Maps) and B2X. Client work for BMW and Audi, including self-parking car automation.
More about JatinQuestions
Do I need machine learning knowledge?
No. If you know basic software testing and APIs, you can follow every page.
Is the code in Python or Java?
Python, using Pytest and DeepEval. The testing strategy works with any language.
Is this only for AI testing roles?
No. Any SDET interview for a team building GenAI features can ask this question.
Can I run the code as it is?
The tests are complete, but they connect to a sample HR chatbot. You plug in your own app's API in one place.
Do I need both RAGAS and DeepEval?
No. The guide shows DeepEval and explains when RAGAS fits. Start with one.
Is it really free?
Yes. Enter your name and email and it arrives in your inbox and your My purchases.
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