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sub:assertion {
  <https://doi.org/10.48550/arXiv.2507.10630> dct:title "Enhancing the Capabilities of Large Language Models for API calls through Knowledge Graphs";
    <http://purl.org/spar/cito/describes> <https://neverblink.eu/ontologies/llm-kg/methods#KG2data>;
    <http://purl.org/spar/cito/discusses> <https://neverblink.eu/ontologies/llm-kg/methods#Chat2data>,
      <https://neverblink.eu/ontologies/llm-kg/methods#RAG2data>;
    a prov:Entity .
  
  <https://neverblink.eu/ontologies/llm-kg/methods#Chat2data> a <http://purl.org/spar/fabio/Workflow>;
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  <https://neverblink.eu/ontologies/llm-kg/methods#KG2data> dct:subject <https://neverblink.eu/ontologies/llm-kg/categories#KGEnhancedLLMInference>;
    a <http://purl.org/spar/fabio/Workflow>;
    rdfs:comment "KG2data is a system that integrates knowledge graphs, LLMs, ReAct agents, and tool usage to improve the accuracy and robustness of LLM API calls in knowledge-intensive domains like meteorology. It uses the KG as a long-term memory module for the LLM-driven agent, providing domain-specific knowledge during the inference stage to overcome LLM's limitations without retraining.";
    rdfs:label "KG2data";
    <https://neverblink.eu/ontologies/llm-kg/hasTopCategory> <https://neverblink.eu/ontologies/llm-kg/top-categories#KGEnhancedLLM> .
  
  <https://neverblink.eu/ontologies/llm-kg/methods#RAG2data> a <http://purl.org/spar/fabio/Workflow>;
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