{
  "id": 12080183,
  "title": "MRVQ: One Resident Index for Dimension- and Rate-Elastic Vector Search",
  "url": "https://urgent.news/2026/10/02/mrvq-one-resident-index-for-dimension-and-rate-elastic-vector-search",
  "topic": "ai",
  "section": "AI",
  "published": "2026-10-02T17:33:13.000Z",
  "source": {
    "name": "arXiv cs.AI",
    "slug": "arxiv-cs-ai",
    "url": "https://arxiv.org/abs/2610.03651v1"
  },
  "original_language": "en",
  "account": null,
  "summary": "Dense-retrieval services must switch among embedding-prefix dimensions and index bit rates as latency, quality, and memory budgets change. Tuning a quantizer separately for each rate gives the best quality, but the retrieval tier then holds several code streams and quantizer states at once. We introduce Matryoshka Residual Vector Quantization (MRVQ), a post-hoc residual quantizer for frozen…",
  "key_points": [],
  "editors_take": null,
  "illustration": null,
  "coverage": {
    "outlets": 1,
    "also_reported_by": []
  },
  "ai_generated": true,
  "disclaimer": "Summaries, key points and the editor’s take are written by software from other outlets’ reporting and may contain errors — always check the linked original."
}