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Scalability Issues in RAG Systems

Most RAG systems face significant challenges when scaling up, leading to failures in performance and efficiency. These issues hinder the widespread adoption of RAG systems in enterprise settings. The primary bottleneck lies in the system's ability to handle increasing loads while maintaining accuracy. Addressing these scalability issues is crucial for the practical application of RAG systems.

Computing & Technology, Computer Science, Machine Learning