{
  "id": "topic:sparse-retrieval",
  "_kind": "Topic",
  "_file": "domain/topics/topics-knowledge-patterns.yaml",
  "_cluster": "domain",
  "attributes": {
    "displayName": "Sparse Retrieval",
    "description": "Sparse Retrieval as a cross-cutting topic — keyword-based retrieval\nusing sparse vector representations. Covers BM25 as the dominant\nbaseline, TF-IDF weighting, learned sparse retrieval models (SPLADE,\nDeepImpact), inverted index construction, and the strengths of sparse\nmethods for exact term matching, rare vocabulary, and domain-specific\nterminology where dense models lack training signal.\n"
  },
  "outgoingEdges": [
    {
      "from": "topic:sparse-retrieval",
      "to": "domain:software-engineering",
      "kind": "applies_to"
    },
    {
      "from": "topic:sparse-retrieval",
      "to": "domain:data-science",
      "kind": "applies_to"
    }
  ],
  "incomingEdges": [
    {
      "from": "domain:data-science",
      "to": "topic:sparse-retrieval",
      "kind": "contains"
    },
    {
      "from": "domain:software-engineering",
      "to": "topic:sparse-retrieval",
      "kind": "contains"
    }
  ]
}