Why RAG Systems Fail and How to Fix Them
Analytics Vidhya
MARCH 17, 2025
Retrieval-Augmented Generation (RAG) enhances large language models (LLMs) by integrating external knowledge, making responses more informative and context-aware. However, RAG fails in many scenarios, affecting its ability to generate accurate and relevant outputs. These issues in RAG systems impact applications in various domains, from customer support to research and content generation.
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