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sub:assertion {
  <https://doi.org/10.48550/arXiv.2408.03010> dct:title "Fact Finder -Enhancing Domain Expertise of Large Language Models by Incorporating Knowledge Graphs";
    <http://purl.org/spar/cito/describes> <https://neverblink.eu/ontologies/llm-kg/methods#FactFinder>;
    <http://purl.org/spar/cito/discusses> <https://neverblink.eu/ontologies/llm-kg/methods#GraphRAG>,
      <https://neverblink.eu/ontologies/llm-kg/methods#StandaloneLLM>;
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  <https://neverblink.eu/ontologies/llm-kg/methods#FactFinder> dct:subject <https://neverblink.eu/ontologies/llm-kg/categories#KGEnhancedLLMInference>;
    <http://purl.org/spar/fabio/hasURL> "https://github.com/chrschy/fact-finder"^^xsd:anyURI;
    a <http://purl.org/spar/fabio/Workflow>;
    rdfs:comment "FactFinder is a hybrid QA system that leverages a KG to enhance the factual correctness and completeness of LLM-generated answers during the inference stage. It achieves this by having the LLM generate Cypher queries to retrieve domain-specific knowledge from the KG, which is then used by the LLM to formulate a more accurate and reliable natural language response. This approach directly improves the LLM's performance in knowledge-intensive tasks by providing access to external, structured, and up-to-date factual knowledge.";
    rdfs:label "FactFinder";
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