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Spruce system enhances private outsourced retrieval for RAG

By PulseAugur Editorial · [3 sources] ·

A new research paper introduces Spruce, a system designed to enhance the privacy and scalability of outsourced retrieval for retrieval-augmented generation (RAG). Spruce achieves significant speedups, up to 22.9x faster than prior work, by co-designing compact binary code representations with a two-server multi-party computation protocol. This approach replaces computationally intensive embedding scoring with efficient Hamming-distance calculations, while also incorporating private cluster pruning to further reduce processing load and improve throughput. AI

IMPACT Enhances privacy and efficiency for RAG systems, potentially enabling wider adoption of outsourced vector databases.

RANK_REASON The cluster contains a research paper detailing a new system for private outsourced retrieval.

Read on arXiv cs.LG →

AI-generated summary · Google Gemini · from 3 sources. How we write summaries →

Spruce system enhances private outsourced retrieval for RAG

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The cluster contains a research paper detailing a new system for private outsourced retrieval.
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COVERAGE [3]

  1. arXiv cs.LG TIER_1 English(EN) · Peichun Hua, Yunming Xiao ·

    Spruce: Scalable Private Outsourced Retrieval Using Compact Embeddings

    arXiv:2609.03376v1 Announce Type: cross Abstract: Retrieval-Augmented Generation (RAG) has made dense retrieval over large document collections a standard building block. Organizations increasingly outsource vector indexes to untrusted clouds, exposing proprietary corpora and use…

  2. arXiv cs.IR (Information Retrieval) TIER_1 English(EN) · Yunming Xiao ·

    Spruce: Scalable Private Outsourced Retrieval Using Compact Embeddings

    Retrieval-Augmented Generation (RAG) has made dense retrieval over large document collections a standard building block. Organizations increasingly outsource vector indexes to untrusted clouds, exposing proprietary corpora and user queries. Cryptographic protection is challenging…

  3. Hugging Face Daily Papers TIER_1 English(EN) ·

    Spruce: Scalable Private Outsourced Retrieval Using Compact Embeddings

    Retrieval-Augmented Generation (RAG) has made dense retrieval over large document collections a standard building block. Organizations increasingly outsource vector indexes to untrusted clouds, exposing proprietary corpora and user queries. Cryptographic protection is challenging…

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