Four Metrics That Actually Tell You Whether Your Enterprise RAG Is Working
The article discusses four key metrics for evaluating the effectiveness of enterprise Retrieval-Augmented Generation (RAG) systems. These metrics assess not only the retrieval of expected documents but also the prevention of unauthorized document access. The evaluation framework aims to ensure the integrity and auditability of information within enterprise knowledge systems.
- ▪The four metrics include pass rate, restricted leakage count, citation coverage, and average latency.
- ▪Pass rate measures the percentage of cases where expected documents are retrieved without any forbidden documents leaking.
- ▪Restricted leakage count indicates the number of cases that returned forbidden documents, highlighting potential failures in role filtering.
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try { if(localStorage) { let currentUser = localStorage.getItem('current_user'); if (currentUser) { currentUser = JSON.parse(currentUser); if (currentUser.id === 3938862) { document.getElementById('article-show-container').classList.add('current-user-is-article-author'); } } } } catch (e) { console.error(e); } Manjunath Posted on May 21 Four Metrics That Actually Tell You Whether Your Enterprise RAG Is Working #rag #ai enterprise-rag-blogs (4 Part Series) 1 How Enterprise RAG Is Structured: Why Access Control Comes Before Retrieval Scoring 2 The Access Control Gap That Makes Most Enterprise RAG Systems Dangerous 3 Three Design Decisions That Shaped the Enterprise RAG Retrieval Pipeline 4 Four Metrics That Actually Tell You Whether Your Enterprise RAG Is Working Enterprise RAG — A…
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