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arXiv · 2603.02206

VoiceAgentRAG: Solving the RAG Latency Bottleneck in Real-Time Voice Agents Using Dual-Agent Architectures

Jielin Qiu·Jianguo Zhang·Zixiang Chen·Liangwei Yang·Ming Zhu·Juntao Tan·Haolin Chen·Wenting Zhao·Rithesh Murthy·Roshan Ram·Akshara Prabhakar·Shelby Heinecke·Caiming Xiong·Silvio Savarese·Huan Wang
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Abstract

We present VoiceAgentRAG, an open-source dual-agent memory router that decouples retrieval from response generation. A background Slow Thinker agent continuously monitors the conversation stream, predicts likely follow-up topics using an LLM, and pre-fetches relevant document chunks into a FAISS-backed semantic cache. A foreground Fast Talker agent reads only from this sub-millisecond cache, bypassing the vector database entirely on cache hits.

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Jielin Qiu, Jianguo Zhang, Zixiang Chen, Liangwei Yang, Ming Zhu, Juntao Tan, Haolin Chen, Wenting Zhao, Rithesh Murthy, Roshan Ram, Akshara Prabhakar, Shelby Heinecke, Caiming Xiong, Silvio Savarese, Huan Wang. 2026-03-02. VoiceAgentRAG: Solving the RAG Latency Bottleneck in Real-Time Voice Agents Using Dual-Agent Architectures. https://arxiv.org/abs/2603.02206

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