Hugging Face Trending Papers October 13, 2026

Configuring RAG Systems: What Breaks, Where Originates, and How to Fix

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The paper investigates configuration problems in Retrieval-Augmented Generation (RAG) systems, which combine large language models with components like vector or graph databases. An empirical study of 654 real-world issues from 10 RAG systems categorizes symptoms, root causes, stages, and fix patterns, revealing that symptoms often appear early or late in the pipeline while root causes may lie elsewhere. The authors also offer nine actionable insights for practitioners to test, localize, and resolve configuration issues in RAG systems.

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