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LLMOps for Reliable AI Applications

Module 05 Activity

Scenario

Your RAG system produces bad answers and nobody can say which half is at fault.

What you build

Retrieval, citation and answer quality scored separately, with an index rebuild regression-tested.

Steps

  1. Score retrieval alone: recall, rank, and the empty case for questions that should retrieve nothing.
  2. Score citation support separately from correctness, and report how many answers are correct but uncited.
  3. Measure generation on a fixed context so retrieval cannot confound it. Classify failures as dropped qualifier, added claim, or widened statement.
  4. Produce the four-combination diagnosis table and identify any right-answer-wrong-evidence cases.
  5. Rebuild the index with a different chunk size and run the retrieval set before and after. Report the fixed and broken lists.
  6. State what your retrieval threshold is and what score distribution it came from.

Evidence to hand in

Review checklist