RAGCache targets operational inefficiencies in Retrieval-Augmented Generation systems, proposing a dynamic caching mechanism to enhance performance:

• Long Sequence Handling: Optimizes processing of extended knowledge sequences through caching.
• Improved Throughput and Latency: Demonstrably increases system throughput while reducing latency. This development marks a pivotal stride in RAG system performance, offering a tangible improvement over existing methods and paving the way for more effective implementations in operational scenarios. Read more