Lesson 1867 of 2116
AI Tool Haystack Pipeline Evaluation: Measuring End-to-End Quality
AI can scaffold an AI Haystack pipeline evaluation harness, but the labeled set and acceptance thresholds are quality-team decisions.
Lesson map
What this lesson covers
Learning path
The main moves in order
- 1The premise
- 2Haystack
- 3evaluation
- 4pipelines
Concept cluster
Terms to connect while reading
Section 1
The premise
AI can scaffold an AI Haystack pipeline evaluation harness with retrieval metrics, generation metrics, and end-to-end accuracy.
What AI does well here
- Generate retrieval metrics (recall@k, MRR) and generation metrics (faithfulness, answer correctness)
- Draft a sampling plan that covers query types and document classes
What AI cannot do
- Decide which metric thresholds gate a release
- Replace human review for ambiguous answers
Key terms in this lesson
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