https://w3id.org/np/RAR_vmXtUMm9mcIsvDnm0BW58tIa2uQ3RUa_IiTQlrTlA/Head https://w3id.org/np/RAR_vmXtUMm9mcIsvDnm0BW58tIa2uQ3RUa_IiTQlrTlA http://www.nanopub.org/nschema#hasAssertion https://w3id.org/np/RAR_vmXtUMm9mcIsvDnm0BW58tIa2uQ3RUa_IiTQlrTlA/assertion https://w3id.org/np/RAR_vmXtUMm9mcIsvDnm0BW58tIa2uQ3RUa_IiTQlrTlA http://www.nanopub.org/nschema#hasProvenance https://w3id.org/np/RAR_vmXtUMm9mcIsvDnm0BW58tIa2uQ3RUa_IiTQlrTlA/provenance https://w3id.org/np/RAR_vmXtUMm9mcIsvDnm0BW58tIa2uQ3RUa_IiTQlrTlA http://www.nanopub.org/nschema#hasPublicationInfo https://w3id.org/np/RAR_vmXtUMm9mcIsvDnm0BW58tIa2uQ3RUa_IiTQlrTlA/pubinfo https://w3id.org/np/RAR_vmXtUMm9mcIsvDnm0BW58tIa2uQ3RUa_IiTQlrTlA http://www.w3.org/1999/02/22-rdf-syntax-ns#type http://www.nanopub.org/nschema#Nanopublication https://w3id.org/np/RAR_vmXtUMm9mcIsvDnm0BW58tIa2uQ3RUa_IiTQlrTlA/assertion https://doi.org/10.48550/arXiv.2503.13514 http://purl.org/dc/terms/title RAG-KG-IL: A Multi-Agent Hybrid Framework for Reducing Hallucinations and Enhancing LLM Reasoning through RAG and Incremental Knowledge Graph Learning Integration https://doi.org/10.48550/arXiv.2503.13514 http://purl.org/spar/cito/describes https://neverblink.eu/ontologies/llm-kg/methods#RagKgIl https://doi.org/10.48550/arXiv.2503.13514 http://purl.org/spar/cito/discusses https://neverblink.eu/ontologies/llm-kg/methods#Gpt4o https://doi.org/10.48550/arXiv.2503.13514 http://purl.org/spar/cito/discusses https://neverblink.eu/ontologies/llm-kg/methods#KgRag https://doi.org/10.48550/arXiv.2503.13514 http://purl.org/spar/cito/discusses https://neverblink.eu/ontologies/llm-kg/methods#Kragen https://doi.org/10.48550/arXiv.2503.13514 http://purl.org/spar/cito/discusses https://neverblink.eu/ontologies/llm-kg/methods#LightKg https://doi.org/10.48550/arXiv.2503.13514 http://purl.org/spar/cito/discusses https://neverblink.eu/ontologies/llm-kg/methods#LightRag https://doi.org/10.48550/arXiv.2503.13514 http://purl.org/spar/cito/discusses https://neverblink.eu/ontologies/llm-kg/methods#RaftRag https://doi.org/10.48550/arXiv.2503.13514 http://purl.org/spar/cito/discusses https://neverblink.eu/ontologies/llm-kg/methods#RetrievalAugmentedGeneration https://doi.org/10.48550/arXiv.2503.13514 http://www.w3.org/1999/02/22-rdf-syntax-ns#type http://www.w3.org/ns/prov#Entity https://neverblink.eu/ontologies/llm-kg/methods#Gpt4o http://www.w3.org/1999/02/22-rdf-syntax-ns#type http://purl.org/spar/fabio/Workflow https://neverblink.eu/ontologies/llm-kg/methods#Gpt4o http://www.w3.org/2000/01/rdf-schema#label GPT-4o https://neverblink.eu/ontologies/llm-kg/methods#KgRag http://www.w3.org/1999/02/22-rdf-syntax-ns#type http://purl.org/spar/fabio/Workflow https://neverblink.eu/ontologies/llm-kg/methods#KgRag http://www.w3.org/2000/01/rdf-schema#label KG-RAG https://neverblink.eu/ontologies/llm-kg/methods#Kragen http://www.w3.org/1999/02/22-rdf-syntax-ns#type http://purl.org/spar/fabio/Workflow https://neverblink.eu/ontologies/llm-kg/methods#Kragen http://www.w3.org/2000/01/rdf-schema#label KRAGEN framework https://neverblink.eu/ontologies/llm-kg/methods#LightKg http://www.w3.org/1999/02/22-rdf-syntax-ns#type http://purl.org/spar/fabio/Workflow https://neverblink.eu/ontologies/llm-kg/methods#LightKg http://www.w3.org/2000/01/rdf-schema#label LightKG https://neverblink.eu/ontologies/llm-kg/methods#LightRag http://www.w3.org/1999/02/22-rdf-syntax-ns#type http://purl.org/spar/fabio/Workflow https://neverblink.eu/ontologies/llm-kg/methods#LightRag http://www.w3.org/2000/01/rdf-schema#label LightRAG https://neverblink.eu/ontologies/llm-kg/methods#RaftRag http://www.w3.org/1999/02/22-rdf-syntax-ns#type http://purl.org/spar/fabio/Workflow https://neverblink.eu/ontologies/llm-kg/methods#RaftRag http://www.w3.org/2000/01/rdf-schema#label RAFT-RAG framework https://neverblink.eu/ontologies/llm-kg/methods#RagKgIl http://purl.org/dc/terms/subject https://neverblink.eu/ontologies/llm-kg/categories#SynergizedReasoning https://neverblink.eu/ontologies/llm-kg/methods#RagKgIl http://www.w3.org/1999/02/22-rdf-syntax-ns#type http://purl.org/spar/fabio/Workflow https://neverblink.eu/ontologies/llm-kg/methods#RagKgIl http://www.w3.org/2000/01/rdf-schema#comment RAG-KG-IL is a novel multi-agent hybrid framework that deeply integrates LLMs with KGs and an incremental learning approach. 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