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RAG Evaluation

RAG QA Command Center

Retrieval diagnostics · trace inspection · configuration comparison.

Diagnoses RAG failures through retrieval metrics, trace inspection, configuration comparison, and review-policy simulation.

  • RAG Evaluation
  • Retrieval Diagnostics
  • Hallucination Review
  • Trace Review
  • Policy Simulation
RAG QA Command Center

Problem

RAG systems are hard to trust when retrieval failures, hallucination exposure, and configuration trade-offs are hidden inside raw logs.

Approach

  • Turns QA logs and retrieval traces into an operator review flow covering quality posture, retrieval diagnostics, risk slices, configuration comparison, and trace review.
  • Uses policy simulation to inspect how review thresholds change workload and quality posture before rollout decisions.
  • Exports evidence-style artifacts so RAG quality review can be repeated and shared instead of judged from isolated examples.

Signals & Results

  • Evaluation scale: 3,824 offline QA evaluation runs and 93,375 retrieval events.
  • Offline review system with data-contract validation, retrieval diagnostics, configuration comparison, trace inspection, policy simulation, evidence exports, Docker, and CI.
  • Explicit scope boundary: evaluation workspace over bundled offline artifacts, not a live RAG serving or ingestion platform.

Stack

  • Python
  • Streamlit
  • Plotly
  • Pandas
  • NumPy
  • Docker
  • pytest
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