knowledge graphs

Category: knowledge graphs

To KG or not to KG, that is the question!

by Sarah Masud on Aug 20, 2025 | Categories: knowledge graphs, retrieval-augmented generation

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…

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)

by Xi Chen, Wei Hu, Arijit Khan, Shreya Shankar, Haofen Wang, Jianguo Wang, and Tianxing Wu on Nov 22, 2024 | Categories: knowledge graphs, LLMs, vector databases

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…