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sub:assertion {
  <https://doi.org/10.48550/arXiv.2511.11583> dct:title "Parallel and Multi-Stage Knowledge Graph Retrieval for Behaviorally Aligned Financial Asset Recommendations";
    <http://purl.org/spar/cito/describes> <https://neverblink.eu/ontologies/llm-kg/methods#RAGFLARKOMultiStagePipeline>;
    <http://purl.org/spar/cito/discusses> <https://neverblink.eu/ontologies/llm-kg/methods#FLARKO>,
      <https://neverblink.eu/ontologies/llm-kg/methods#RAGFLARKOParallelVariant>;
    a prov:Entity .
  
  <https://neverblink.eu/ontologies/llm-kg/methods#FLARKO> a <http://purl.org/spar/fabio/Workflow>;
    rdfs:label "FLARKO" .
  
  <https://neverblink.eu/ontologies/llm-kg/methods#RAGFLARKOMultiStagePipeline> dct:subject
      <https://neverblink.eu/ontologies/llm-kg/categories#KGEnhancedLLMInference>;
    a <http://purl.org/spar/fabio/Workflow>;
    rdfs:comment "This method proposes a multi-stage Retrieval-Augmented Generation (RAG) pipeline to enhance the performance of LLMs in financial asset recommendations. It uses LLMs to select relevant entities and construct compact subgraphs from a Personal Knowledge Graph (PKG) and a Market Knowledge Graph (MKG) in a chained, sequential manner. The curated KG context is then fed to a financial LLM (FLARKO) during inference to improve recommendation quality, reduce hallucinations, and optimize context window usage.";
    rdfs:label "Multi-stage RAG-FLARKO";
    <https://neverblink.eu/ontologies/llm-kg/hasTopCategory> <https://neverblink.eu/ontologies/llm-kg/top-categories#KGEnhancedLLM> .
  
  <https://neverblink.eu/ontologies/llm-kg/methods#RAGFLARKOParallelVariant> a <http://purl.org/spar/fabio/Workflow>;
    rdfs:label "Parallel RAG-FLARKO" .
}

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    prov:wasDerivedFrom <https://doi.org/10.48550/arXiv.2511.11583> .
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