knowledge graph embeddings ↔ Large Language Models

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related 0.10 — supporting 1 fact

Large Language Models and knowledge graph embeddings are related through their integration in RAG architectures, where KGE vector representations are injected into LLMs to improve fact-checking capabilities as described in [1].

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[PDF] Injecting Knowledge Graph Embeddings into RAG Architectures ceur-ws.org CEUR-WS 1 fact

referenceThe research paper titled 'Injecting Knowledge Graph Embeddings into RAG Architectures' addresses the problem of fact-checking by injecting Knowledge Graph Embedding (KGE) vector representations into Large Language Models (LLMs) using a Retrieval Augmented Generation (RAG) framework.