REIS: A High-Performance and Energy-Efficient Retrieval System with In-Storage Processing

arXiv — cs.CL•Wednesday, November 12, 2025 at 5:00:00 AM

The introduction of REIS marks a significant advancement in the field of artificial intelligence, particularly in the context of large language models (LLMs). Traditional LLMs are limited by their static training data, but Retrieval-Augmented Generation (RAG) offers a solution by incorporating external knowledge. However, the retrieval stage of RAG often becomes a bottleneck due to the overheads incurred during Approximate Nearest Neighbor Search (ANNS). REIS proposes a novel approach by employing In-Storage Processing (ISP) techniques, which allow computations to occur within the storage system, thus reducing data movement and accelerating retrieval operations. This system is the first of its kind tailored specifically for RAG, addressing previous limitations and enhancing the overall efficiency of data retrieval. The implications of REIS are profound, as it not only optimizes the performance of RAG but also paves the way for more effective integration of external knowledge into LLMs,…

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