RAG Evaluation Skill
CommunityEvaluate RAG system quality
Authordavicqueiroz
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This Skill helps you rigorously assess the quality of Retrieval-Augmented Generation (RAG) systems, ensuring they meet performance targets before deployment.
Core Features & Use Cases
- Comprehensive Metrics: Evaluates retrieval, generation, and latency using standard benchmarks.
- Flexible Modes: Supports local evaluation with custom datasets or benchmarking against a production API.
- Use Case: A machine learning engineer needs to compare two different RAG pipeline configurations to determine which one provides more accurate and faster responses for customer support queries.
Quick Start
Run the rag-eval skill to evaluate your RAG system using the provided test dataset.
Dependency Matrix
Required Modules
None requiredComponents
references
💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: RAG Evaluation Skill Download link: https://github.com/davicqueiroz/claude-rag-skills/archive/main.zip#rag-evaluation-skill Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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