RAG Pipeline (Design + Evaluation Metrics)

System DesignxAILast reported November 2025Low Frequency
Reported
3× across candidate reports
First seen
August 2025
Last reported
November 2025
Reported outcome
unknown

Problem Overview

Design a Retrieval-Augmented Generation (RAG) system end to end: ingestion, chunking, embedding, vector retrieval, and augmented generation — plus how you'd evaluate it. Reported in two forms: (1) an onsite system-design interview requiring the full pipeline design AND a discussion of evaluation metrics; (2) a 4-hour take-home OA where RAG…

  • 3 candidate-reported follow-ups — the exact probes interviewers asked, with the trigger for each
  • The rest of the problem statement — full requirements, constraints, and edge cases
  • Approach and trade-offs — what passing candidates did, and the mistakes that sink people
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Verified Source
Every question is reconstructed from multiple independent candidate reports. Verbatim follow-ups, not invented ones.
Codex Fact-Checked
Technical claims, formulas, and scale numbers are reviewed against primary sources.
Interviewer Follow-ups
The exact follow-ups reported by candidates, with the trigger that prompts each one — plus the mistakes that sink people.
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