rag-quality-operations
CommunityGovern retrieval quality for RAG-based AI SaaS.
AuthorXiaoPuOuO
Version1.0.0
Installs0
System Documentation
What problem does it solve?
Govern retrieval quality for a RAG-based AI SaaS by enforcing source inventory, chunking, indexing, grounding, freshness, monitoring, and formal release gates.
Core Features & Use Cases
- Source inventory management and ownership capture
- Chunking and indexing assumption documentation
- Relevance evaluation with task-oriented queries
- Grounding and citation checks
- Freshness and expiry governance
- Monitoring and failure-mode tracking
- Formal acceptance criteria and release gates
Quick Start
Initiate the RAG Quality governance workflow against your current knowledge base to validate sources, chunking, indexing, grounding, freshness, and release criteria before deployment.
Dependency Matrix
Required Modules
None requiredComponents
Standard package💻 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-operations Download link: https://github.com/XiaoPuOuO/VFactory/archive/main.zip#rag-quality-operations Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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