Knowledge graphs have evolved to power modern AI, progressing into many varieties such as Knowledge Graph Embeddings (KGE), Domain Knowledge Graphs (DKG), and Retrieval-Augmented Generation (RAG) ...

Harvard Medical School has unveiled MedAI, a new knowledge graph-based agent set to transform the landscape of medical question-answering. This innovative tool addresses the critical shortcomings of ...

Generative AI depends on data to build responses to user queries. Training large language models (LLMs) uses huge volumes of data—for example, OpenAI’s GPT-3 used the CommonCrawl data set, which stood ...

A super geeky topic, which could have super important repercussions in the real world. That description could very well fit anything from cold fusion to knowledge graphs, so a bit of unpacking is in ...

Dublin, Jan. 31, 2025 (GLOBE NEWSWIRE) -- The "Knowledge Graph Market by Solution (Enterprise Knowledge Graph Platform, Graph Database Engine, Knowledge Management Toolset), Model Type (Resource ...

Graph database developer Neo4j Inc. is upping its machine learning game today with a new release of Neo4j for Graph Data Science framework that leverages deep learning and graph convolutional neural ...

Google's Knowledge Graph is an important element of Search. Here's what it is and how to use it to drive more visitors to your website. Google’s introduction of the Knowledge Graph in 2012 was a ...