Archive for the knowledge graphs category
Sarah Masud
August 20, 2025
To KG or not to KG, that is the question!
Even before retrieval augment generation (RAG) became a buzzword, researchers have been working on the infusion of knowledge bases with language models, allowing for better nudging of parametric knowledge in these models [1]. The source of this external knowledge can range from subject-relation-object tuples from knowledge graphs (KG) to summaries of Wikipedia pages. While studies […]
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Xi Chen, Wei Hu, Arijit Khan, Shreya Shankar, Haofen Wang, Jianguo Wang, and Tianxing Wu
November 22, 2024
Large Language Models, Knowledge Graphs, and Vector Databases: Synergy and Opportunities for Data Management (A Report on the LLM+KG@VLDB24 Workshop’s Panel Discussion)
Introduction Large language models (LLMs) and vector databases (Vector DBs) are becoming two vital enablers of generative AI (GenAI), a form of artificial intelligence that learns from massive datasets to generate new data, showcasing human-like creativity in text, images to code, speech, and video. In particular, LLMs are currently revolutionizing the field of natural language […]
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