RAG System Safety Audit Template
A comprehensive 18-page framework for evaluating Retrieval-Augmented Generation systems. Test retrieval accuracy, grounding validation, hallucination detection, and more.
Used by AI teams at startups and Fortune 500 companies
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What's Inside the Template
7 Evaluation Dimensions
- • Retrieval Accuracy
- • Answer Grounding
- • Hallucination Detection
- • Context Management
- • Query Understanding
- • Knowledge Base Quality
- • Safety & Security
RAGAS Metrics
- • Context Precision
- • Context Recall
- • Faithfulness
- • Answer Relevance
- • Answer Correctness
Ready-to-Use
- • Fill-in-the-blank forms
- • Scoring rubrics
- • Test case templates
- • Optimization checklists
- • Action plan framework
Why You Need This Template
Systematic evaluation of retrieval accuracy, grounding, and hallucination detection
RAGAS metrics framework (Context Precision, Recall, Faithfulness)
60+ test cases specifically for RAG systems
Knowledge base quality assessment checklist
Security testing (indirect prompt injection, data leakage)
Optimization strategies for embeddings, chunking, and retrieval
Scoring system to track improvements over time
Who Uses This Template
What Teams Are Saying
"This template caught 23 grounding failures we missed in manual testing. Our faithfulness score went from 72% to 94% in 3 weeks."
Series B SaaS Company
Head of AI
"We used this to prepare for our SOC 2 audit. The auditor was impressed by our systematic approach to RAG evaluation."
Enterprise Software Company
VP Engineering
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