RAGXplain
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RAGXplain is an open-source evaluation framework developed by researchers to diagnose failure reasons in Retrieval-Augmented Generation (RAG) pipelines, focusing on explainability and root-cause analysis.
1Total Mentions
+0.50Sentiment (Positive)
0.0%Velocity (7d)
First seen: Mar 19, 2026Last active: Mar 19, 2026
Timeline
1- Research MilestoneMar 19, 2026
Researchers introduced the RAGXplain framework for diagnosing and improving RAG systems.
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Positive sentiment
Negative sentiment
Range: -1 to +1
| Week | Avg Sentiment | Mentions |
|---|---|---|
| 2026-W12 | 0.50 | 1 |