Audit a RAG pipeline for retrieval failures
Find where retrieval goes wrong on a 2M-chunk corpus and rank fixes by expected gain against effort.
$3,200
fixed price
The brief
System
A RAG pipeline over 2M chunks. Answers are confident and sometimes wrong, and we do not know whether that is retrieval, ranking or the prompt.
Task
Build an evaluation set from real queries, measure where the pipeline loses the right chunk, and rank the fixes by expected gain against implementation effort.
Deliverable
A written analysis with the eval set attached. Recommendations must name a measurement, not a vibe.
Acceptance criteria
Payment releases against these. They are written to be checked by a machine, not argued about.
- Eval set of ≥ 300 real queries with graded relevance
- Failure modes quantified, not described
- Every recommendation states the metric it should move
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