> tpl_air_004
RAG Evaluation Plan
Methodological benchmarking plan evaluating retrieval precision, groundedness, and answer relevance with CI/CD regression gates.
Production RAG evaluation framework measuring Context Relevance (>0.85), Faithfulness (>0.90), and Answer Relevance (>0.88).
Important Tech Document Template & Operational Notice
TinyCTO.tv Tech Document Template Notice: This template is a general educational and operational starting point. It is not legal, tax, accounting, investment, procurement, regulatory, security or certification advice. Requirements vary by jurisdiction, organization, contract and risk. Review and adapt it with qualified professionals before relying on it.
Problem Solved
Teams deploy RAG pipelines without automated hallucination scoring, leading to incorrect domain answers eroding user trust.
When to Use
- •When tuning embedding chunk sizes and reranker models
- •As an automated pull request CI/CD regression gate
When NOT to Use
- •For simple keyword search applications without LLM generation
1 Template Sections & Structural Outline
Defines formal boundaries, ownership, and scope.
Completion Instructions
Independent Review Checklist
- All mandatory sections completed
- No confidential secrets or credentials included
- Sponsor or Lead sign-off obtained
RAG Evaluation Plan - Worked Case Study
Fictional Entity: Nexus / Hyperion Systems
Production scenario demonstrating end-to-end artifact completion.
- •Concrete data points
- •Real-world decision trade-offs
- •Tested formulas and structures
Frequently Asked Questions
What is Faithfulness in the RAG Triad?
Faithfulness verifies that every claim made in the synthesized answer is strictly grounded in the retrieved context chunks.
Download Tech Document Pack
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Authoritative Sources
- The RAG Triad: Evaluating Hallucinations in RAG ArchitecturesTruLens • OFFICIAL REQUIREMENT