RAG Quality Skill
CommunityEnsure RAG system quality and reliability.
Software Engineering#quality assurance#llm#rag#citation#retrieval augmented generation#hallucination mitigation
Authorjimmymalhan
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This Skill provides a comprehensive guide to building, implementing, and validating retrieval-augmented generation (RAG) systems, addressing issues like hallucinations and citation inaccuracies.
Core Features & Use Cases
- Playbook for RAG: Offers step-by-step instructions for data preparation, indexing, search, grounding, and maintenance.
- Quality Assurance: Defines verification steps and roles for ensuring RAG system integrity.
- Use Case: When a user reports that your AI assistant is providing incorrect information or fabricating sources, this Skill's playbook can be used to audit and improve the RAG pipeline.
Quick Start
Use the RAG Quality Skill to review the data preparation and indexing steps for our new knowledge base.
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 Quality Skill Download link: https://github.com/jimmymalhan/codereview-pilot/archive/main.zip#rag-quality-skill Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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