{
  "definition": "Retrieval using high-dimensional representations in which most feature dimensions have zero weight.",
  "derivedRelations": [
    {
      "target": "learned-sparse-retrieval",
      "type": "narrower"
    },
    {
      "target": "dynamic-pruning",
      "type": "related"
    },
    {
      "target": "hybrid-retrieval",
      "type": "related"
    }
  ],
  "id": "sparse-retrieval",
  "kind": "Representation",
  "license": "https://creativecommons.org/publicdomain/zero/1.0/",
  "modifiedAt": "2026-09-12T21:39:00Z",
  "prefLabel": "Sparse Retrieval",
  "publisher": {
    "name": "Searchplex",
    "url": "https://searchplex.net/"
  },
  "relations": [
    {
      "target": "learned-sparse-retrieval",
      "type": "notEquivalentTo"
    },
    {
      "target": "learned-sparse-retrieval",
      "type": "related"
    },
    {
      "target": "lexical-retrieval",
      "type": "related"
    }
  ],
  "representations": {
    "html": "https://id.searchplex.net/sparse-retrieval/",
    "json": "https://id.searchplex.net/sparse-retrieval.json",
    "jsonld": "https://id.searchplex.net/sparse-retrieval.jsonld"
  },
  "scheme": "https://id.searchplex.net/scheme/",
  "scopeNote": "Traditional lexical representations and learned sparse representations can both be sparse. Sparse retrieval therefore should not be used as a synonym for learned sparse retrieval.",
  "status": "published",
  "uri": "https://id.searchplex.net/sparse-retrieval/"
}