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Judge noise or answer noise? What really moves RAG evaluation scores

Summary. RAG evaluation scores change from run to run even when nothing in the system changes. I measured where that variation comes from in my own system: from the LLM judge grading the same answers differently, or from the generator writing different answers. For faithfulness, about 85% of the run-to-run variance came from the answers. For answer relevancy, nearly all of it did. Context recall…

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Turning a Broken Test Suite into a Deploy Gate

In September I ran yarn test on our NestJS API and 71 of 87 suites failed. Nobody had noticed, because nothing ran the tests.

  • 71 out of 87 test suites failed in NestJS API project
  • 21 real tests fixed, 62 stubs deleted to improve maintainability
  • Pre-build step added to Cloud Build to prevent deploy on failing tests

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