RAGCache: Optimizing Retrieval-Augmented Generation with Dynamic Caching

" data-medium-file="https://www.marktechpost.com/wp-content/uploads/2024/11/Screenshot-2024-11-10-at-12.29.20 AM-300x228.png" data-large-file="https://www.marktechpost.com/wp-content/uploads/2024/11/Screenshot-2024-11-10-at-12.29.20 AM-1024x779.png" tabindex="0" role="button"> " data-medium-file="https://www.marktechpost.com/wp-content/uploads/2024/11/Screenshot-2024-11-10-at-12.29.20 AM-300x228.png" data-large-file="https://www.marktechpost.com/wp-content/uploads/2024/11/Screenshot-2024-11-10-at-12.29.20 AM-1024x779.png" tabindex="0" role="button">Retrieval-Augmented Generation (RAG) has significantly enhanced the capabilities of large language models (LLMs) by incorporating external knowledge to provide more contextually relevant and accurate responses. However, this technique comes with a major downside: it often leads to high computational and memory costs. These challenges are primarily due to the injection of long sequences of external […]

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