arXiv: cs.AI preprintsInternational6 November 2026
ZeroRAG: Adaptive Semantic Peer Routing for Decentralized Retrieval-Augmented Generation
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arXiv:2611.07928v1 Announce Type: cross Abstract: Retrieval-augmented generation (RAG) is a standard approach to enhance the reliability of large language model (LLM) outputs by retrieving documents relevant to a query and supplying them in the LLM prompt. Today's RAG systems collect, index, and serve these documents from centralized stores. In practice, however, documents are owned by organizations, devices, and individuals who cannot or will not surrender custody of them to a central party, e.g., because of privacy, copyright or regulatory compliance. Existing modern decentralized retrieval
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