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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Story provenance
Source · retrieval · rights · ranking — open for full record
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Story provenance
Attribution is not the same as permission. This drawer separates discovery metadata, excerpts, WeSearch-generated summaries, reuse status, and whether the publisher receives the visit. Nothing here claims a legal grant the publisher has not made.
Record
| Original publisher | DEV.to (Top) |
| Canonical URL | https://dev.to/manjunath_d35c391da339e5b/four-metrics-that-actually-tell-you-whether-your-enterprise-rag-is-working-48c6 |
| Publication time | Thu, 21 May 2026 17:54:07 +0000 |
| Retrieval time | 2026-05-21T18:01:35.547Z |
| Last seen | 2026-05-21T18:01:35.547Z |
| Headline source | Publisher (no WeSearch rewrite) |
| Excerpt source | publisher body |
| Excerpt method | First ~120 words (~800 chars) of extracted publisher body, fair-use limited. |
| Summary | WeSearch · cerebras-chat (WeSearch summarizer) |
| Summary source text | contentText |
| Citation coverage | Summary is a WeSearch-generated derivative; primary citation is the original publisher URL. |
| Cluster | oGGP9Gj9P33W |
| Cluster logic | Grouped by semantic title/content similarity across sources within a rolling window. Same-publisher template collisions are excluded from coverage comparison. |
| Ranking reason | Story pages are not engagement-ranked. Hub feeds use recency, with optional source-diversified chronological ordering (cap consecutive stories per source). No personalized ranking. |
| Publisher visit | Yes — open original |
| Substitutes article? | No — link-out required for full text |
Rights status (four layers)
WeSearch handling by dimension
| Indexing | May the item be indexed (stored, ranked, made findable)? | Allowed |
| Snippet | May a short excerpt of the publisher's text be shown? | Allowed |
| AI summary | May WeSearch generate its own short summary of the article? | Limited |
| Retrieval / RAG | May the content be exposed for third-party retrieval-augmented generation? | Not asserted |
| Model training | May the content be used to train AI models? | Not asserted |
| Commercial reuse | May the content be reused commercially? | Not permitted |
Basis: Derived from the published RSS/Atom feed. Contact: [email protected]. Reviewed: 2026-07-24.
Opening excerpt (first ~120 words) tap to expand
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…
Excerpt limited to ~120 words for fair-use compliance. The full article is at DEV.to (Top).
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