https://w3id.org/np/RAZBea-qTjQkYMMLlqWtLHWr__BqFD7G_Jd4GD2nKKsnY/Head https://w3id.org/np/RAZBea-qTjQkYMMLlqWtLHWr__BqFD7G_Jd4GD2nKKsnY http://www.nanopub.org/nschema#hasAssertion https://w3id.org/np/RAZBea-qTjQkYMMLlqWtLHWr__BqFD7G_Jd4GD2nKKsnY/assertion https://w3id.org/np/RAZBea-qTjQkYMMLlqWtLHWr__BqFD7G_Jd4GD2nKKsnY http://www.nanopub.org/nschema#hasProvenance https://w3id.org/np/RAZBea-qTjQkYMMLlqWtLHWr__BqFD7G_Jd4GD2nKKsnY/provenance https://w3id.org/np/RAZBea-qTjQkYMMLlqWtLHWr__BqFD7G_Jd4GD2nKKsnY http://www.nanopub.org/nschema#hasPublicationInfo https://w3id.org/np/RAZBea-qTjQkYMMLlqWtLHWr__BqFD7G_Jd4GD2nKKsnY/pubinfo https://w3id.org/np/RAZBea-qTjQkYMMLlqWtLHWr__BqFD7G_Jd4GD2nKKsnY http://www.w3.org/1999/02/22-rdf-syntax-ns#type http://www.nanopub.org/nschema#Nanopublication https://w3id.org/np/RAZBea-qTjQkYMMLlqWtLHWr__BqFD7G_Jd4GD2nKKsnY/assertion https://doi.org/10.48550/arXiv.2503.24245 http://purl.org/dc/terms/title Enhancing Large Language Models (LLMs) for Telecommunications using Knowledge Graphs and Retrieval-Augmented Generation https://doi.org/10.48550/arXiv.2503.24245 http://purl.org/spar/cito/describes https://neverblink.eu/ontologies/llm-kg/methods#KGRAGFramework https://doi.org/10.48550/arXiv.2503.24245 http://purl.org/spar/cito/describes https://neverblink.eu/ontologies/llm-kg/methods#LLMAidedEntityExtraction https://doi.org/10.48550/arXiv.2503.24245 http://purl.org/spar/cito/discusses https://neverblink.eu/ontologies/llm-kg/methods#RetrievalAugmentedGeneration https://doi.org/10.48550/arXiv.2503.24245 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#KGRAGFramework http://purl.org/dc/terms/subject https://neverblink.eu/ontologies/llm-kg/categories#KGEnhancedLLMInference https://neverblink.eu/ontologies/llm-kg/methods#KGRAGFramework http://www.w3.org/1999/02/22-rdf-syntax-ns#type http://purl.org/spar/fabio/Workflow https://neverblink.eu/ontologies/llm-kg/methods#KGRAGFramework http://www.w3.org/2000/01/rdf-schema#comment This method proposes a novel framework that integrates a Knowledge Graph (KG) with Retrieval-Augmented Generation (RAG) to enhance Large Language Model (LLM) performance in the telecommunications domain. The KG is used during the inference stage to dynamically provide relevant, structured, and up-to-date domain-specific knowledge to the LLM, improving its accuracy and contextual understanding for tasks like question answering and summarization without retraining. https://neverblink.eu/ontologies/llm-kg/methods#KGRAGFramework http://www.w3.org/2000/01/rdf-schema#label KG-RAG Framework https://neverblink.eu/ontologies/llm-kg/methods#KGRAGFramework https://neverblink.eu/ontologies/llm-kg/hasTopCategory https://neverblink.eu/ontologies/llm-kg/top-categories#KGEnhancedLLM https://neverblink.eu/ontologies/llm-kg/methods#LLMAidedEntityExtraction http://purl.org/dc/terms/subject https://neverblink.eu/ontologies/llm-kg/categories#LLMAugmentedKGConstruction https://neverblink.eu/ontologies/llm-kg/methods#LLMAidedEntityExtraction http://www.w3.org/1999/02/22-rdf-syntax-ns#type http://purl.org/spar/fabio/Workflow https://neverblink.eu/ontologies/llm-kg/methods#LLMAidedEntityExtraction http://www.w3.org/2000/01/rdf-schema#comment This method uses an LLM to extract key entities and their relationships from unstructured and semi-structured telecom-specific data sources. 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