Nanopublications

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@prefix sub: <https://w3id.org/np/RAp_fOJEWWjq2_1az5fqExbpOcCGrgU09ntawAOX9CAnk/> .
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@prefix dct: <http://purl.org/dc/terms/> .
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@prefix prov: <http://www.w3.org/ns/prov#> .
@prefix npx: <http://purl.org/nanopub/x/> .

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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> ;
    a prov:Entity .
  <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" ;
    <https://neverblink.eu/ontologies/llm-kg/hasTopCategory> <https://neverblink.eu/ontologies/llm-kg/top-categories#KGEnhancedLLM> .
  <https://neverblink.eu/ontologies/llm-kg/methods#GraphRAG> a <http://purl.org/spar/fabio/Workflow> ;
    rdfs:label "Graph-RAG" .
  <https://neverblink.eu/ontologies/llm-kg/methods#StandaloneLLM> a <http://purl.org/spar/fabio/Workflow> ;
    rdfs:label "Standalone LLM" .
}

sub:provenance {
sub:assertion prov:wasAttributedTo <https://neverblink.eu/ontologies/llm-kg/agent> ;
prov:wasDerivedFrom <https://doi.org/10.48550/arXiv.2408.03010> .
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