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TurboRAG: Efficient RAG with Precomputed Caches by yenal.gogebakan is a document available to read on EtoBox.

What is TurboRAG: Efficient RAG with Precomputed Caches about?

TurboRAG is a novel Retrieval-Augmented Generation (RAG) system designed to reduce computation overhead and time-to-first-token (TTFT) by pre-computing and storing key-value (KV) caches of document chunks offline. This approach eliminates the need for online computation of KV caches during inference, achieving up to 9.4x reduction in TTFT while maintaining comparable performance to standard RAG systems. TurboRAG

Author

yenal.gogebakan

Language

EN