{
  "id": 16704982,
  "title": "Retriever-Free Retrieval: Navigating Documents with Decision Models",
  "url": "https://urgent.news/2026/10/26/retriever-free-retrieval-navigating-documents-with-decision-models",
  "topic": "ai",
  "section": "AI",
  "published": "2026-10-26T17:59:44.000Z",
  "source": {
    "name": "arXiv cs.AI",
    "slug": "arxiv-cs-ai",
    "url": "https://arxiv.org/abs/2610.35868v1"
  },
  "original_language": "en",
  "account": null,
  "summary": "While language models have become dramatically more capable, retrieval still largely relies on lexical matching or similarity in fixed embedding spaces. This creates a capability asymmetry: what the retriever fails to find, even the strongest generator cannot recover. We propose DecisionRAG, which brings the capabilities of pretrained language models to retrieval using decision models that…",
  "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."
}