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TeleRAG: Efficient Retrieval-Augmented Generation Inference with Lookahead Retrieval

arXiv — cs.LG•Wednesday, November 12, 2025 at 5:00:00 AM
PositiveArtificial Intelligence
TeleRAG represents a significant leap in retrieval-augmented generation (RAG) technology, addressing the challenges of high throughput and low latency in large language models (LLMs). By introducing lookahead retrieval, TeleRAG prefetches necessary data from CPU to GPU during LLM generation, effectively reducing latency by 1.53 times and increasing throughput by 1.83 times. This innovation not only enhances the efficiency of RAG applications but also ensures minimal GPU memory requirements, making it practical for widespread deployment. Evaluations confirm its utility, indicating that TeleRAG can support faster and more memory-efficient applications in the AI landscape, which is crucial as the demand for real-time data processing continues to grow.
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