{
  "objekt": "ki-praxis/check/rag",
  "titel": "Arbeiten pro Halbjahr — RAG und drei Nachfolgeansaetze",
  "quelle": "BrunoSan arXiv-Korpus, 602340 Arbeiten (cs.AI/LG/CL/CV/RO)",
  "verfahren": "FTS5-Begriffssuche in Titel und Abstract, Tokengrenzen (unicode61)",
  "suchbegriffe": {
    "rag": "\"retrieval-augmented generation\" OR \"retrieval augmented generation\"",
    "graphrag": "\"graphrag\" OR \"graph rag\"",
    "wissensgraph_llm": "\"knowledge graph\" AND (\"llm\" OR \"language model\")",
    "context_engineering": "\"context engineering\""
  },
  "datenstand": "2026-07-23",
  "abfrage": "2026-07-26",
  "hinweis": "2026-H2 unvollstaendig. NICHT auf arXiv-Gesamtaufkommen normalisiert. Mengen ueberschneiden sich.",
  "gesamt": {
    "rag": 4624,
    "graphrag": 257,
    "wissensgraph_llm": 953,
    "context_engineering": 83
  },
  "code_quote": {
    "rag": [
      722,
      4624
    ],
    "graphrag": [
      43,
      257
    ],
    "wissensgraph_llm": [
      141,
      953
    ],
    "context_engineering": [
      10,
      83
    ]
  },
  "empirisch": {
    "rag": [
      4352,
      4624
    ],
    "graphrag": [
      250,
      257
    ],
    "wissensgraph_llm": [
      864,
      953
    ],
    "context_engineering": [
      61,
      83
    ]
  },
  "schranken_empirisch_ohne_code": {
    "rag": [
      3630,
      3902
    ],
    "graphrag": [
      207,
      214
    ],
    "wissensgraph_llm": [
      723,
      812
    ]
  },
  "verlauf": [
    {
      "periode": "2020-H1",
      "rag": 2,
      "graphrag": 0,
      "wissensgraph_llm": 6,
      "context_engineering": 0
    },
    {
      "periode": "2020-H2",
      "rag": 0,
      "graphrag": 0,
      "wissensgraph_llm": 6,
      "context_engineering": 0
    },
    {
      "periode": "2021-H1",
      "rag": 2,
      "graphrag": 0,
      "wissensgraph_llm": 5,
      "context_engineering": 0
    },
    {
      "periode": "2021-H2",
      "rag": 4,
      "graphrag": 1,
      "wissensgraph_llm": 10,
      "context_engineering": 0
    },
    {
      "periode": "2022-H1",
      "rag": 3,
      "graphrag": 0,
      "wissensgraph_llm": 12,
      "context_engineering": 0
    },
    {
      "periode": "2022-H2",
      "rag": 5,
      "graphrag": 0,
      "wissensgraph_llm": 15,
      "context_engineering": 0
    },
    {
      "periode": "2023-H1",
      "rag": 11,
      "graphrag": 3,
      "wissensgraph_llm": 22,
      "context_engineering": 0
    },
    {
      "periode": "2023-H2",
      "rag": 73,
      "graphrag": 1,
      "wissensgraph_llm": 56,
      "context_engineering": 0
    },
    {
      "periode": "2024-H1",
      "rag": 394,
      "graphrag": 1,
      "wissensgraph_llm": 92,
      "context_engineering": 0
    },
    {
      "periode": "2024-H2",
      "rag": 688,
      "graphrag": 18,
      "wissensgraph_llm": 105,
      "context_engineering": 0
    },
    {
      "periode": "2025-H1",
      "rag": 1056,
      "graphrag": 53,
      "wissensgraph_llm": 147,
      "context_engineering": 2
    },
    {
      "periode": "2025-H2",
      "rag": 1093,
      "graphrag": 67,
      "wissensgraph_llm": 207,
      "context_engineering": 29
    },
    {
      "periode": "2026-H1",
      "rag": 1228,
      "graphrag": 109,
      "wissensgraph_llm": 246,
      "context_engineering": 52
    }
  ],
  "wachstumsraten_rag": [
    {
      "von": "2024-H1",
      "nach": "2024-H2",
      "prozent": 74.6
    },
    {
      "von": "2024-H2",
      "nach": "2025-H1",
      "prozent": 53.5
    },
    {
      "von": "2025-H1",
      "nach": "2025-H2",
      "prozent": 3.5
    },
    {
      "von": "2025-H2",
      "nach": "2026-H1",
      "prozent": 12.4
    }
  ],
  "ankerpapiere": [
    {
      "arxiv_id": "2312.10997",
      "titel": "RAG for LLMs: A Survey",
      "datum": "2023-12-18",
      "zitationen": 2042
    },
    {
      "arxiv_id": "2404.16130",
      "titel": "From Local to Global: A Graph RAG Approach",
      "datum": "2024-04-24",
      "zitationen": 962
    },
    {
      "arxiv_id": "2005.11401",
      "titel": "RAG for Knowledge-Intensive NLP Tasks",
      "datum": "2020-05-22",
      "zitationen": 890
    },
    {
      "arxiv_id": "2310.11511",
      "titel": "Self-RAG",
      "datum": "2023-10-17",
      "zitationen": 534
    },
    {
      "arxiv_id": "2504.19413",
      "titel": "Mem0",
      "datum": "2025-04-28",
      "zitationen": 532
    },
    {
      "arxiv_id": "2501.13956",
      "titel": "Zep: Temporal Knowledge Graph Architecture",
      "datum": "2025-01-20",
      "zitationen": 209
    },
    {
      "arxiv_id": "2408.08921",
      "titel": "Graph RAG: A Survey",
      "datum": "2024-08-15",
      "zitationen": 192
    },
    {
      "arxiv_id": "2307.07697",
      "titel": "Think-on-Graph",
      "datum": "2023-07-15",
      "zitationen": 175
    },
    {
      "arxiv_id": "2507.13334",
      "titel": "A Survey of Context Engineering for LLMs",
      "datum": "2025-07-17",
      "zitationen": 108
    }
  ],
  "offenlegung": "Die untersuchten Nachfolgeansaetze entsprechen der Architektur der eigenen Produkte. Auswahl der Suchbegriffe ist nicht neutral. Siehe Abschnitt 05 des Artikels."
}