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Evaluation

Dev Doshi edited this page Jun 18, 2026 · 1 revision

VaultMind uses RAGAS for retrieval and answer quality evaluation.


Dataset

Custom benchmark dataset.

Contains:

  • 14 Ground Truth Questions
  • Expected Answers

Metrics

Faithfulness

Measures whether the answer is grounded in retrieved context.


Answer Relevancy

Measures whether the answer addresses the user's question.


Context Precision

Measures retrieval quality.


Context Recall

Measures retrieval completeness.


Latest Results

Metric Score
Faithfulness 0.993
Answer Relevancy 0.906
Context Precision 0.738
Context Recall 0.821
Overall 0.865

Goal

Maintain:

Overall Score > 0.85

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