rag-gap-auditor

What problem does it solve?

This Skill identifies and helps remediate knowledge gaps in Retrieval-Augmented Generation (RAG) systems, ensuring more accurate and relevant information retrieval.

Core Features & Use Cases

• Systematic Gap Probing: Runs structured test queries across various categories to uncover retrieval failures.
• Document Corpus Auditing: Checks documents for staleness, poor chunking, and missing coverage.
• Prioritized Remediation Plan: Delivers actionable steps ranked by impact to improve RAG performance.
• Use Case: When your RAG system is failing to find relevant documents or providing incorrect answers, this skill will diagnose the root cause and provide a clear plan to fix it.

Quick Start

Use the rag-gap-auditor skill to audit my RAG system with these failing queries.