How the Semantic Layer Enables Reliable GenAI and Business DecisionsThe role of semantic layers in enterprise data integration and their importance for efficient governance and decision-making.3d ago3d ago
Transforming M365 into a Smart Knowledge Hub — GraphwiseRead about how the Graphwise for M365 integration transforms Microsoft 365 into a knowledge hub.Apr 17Apr 17
Graph Center of Excellence and Data GovernanceWhat, why, and how enterprises should focus on building a Graph COE and its associated payback for AI & data management practices.Apr 14Apr 14
Transforming Enterprise Content with Graphwise & RWSLearn how Graphwise’s Semantic AI capabilities help transform enterprise content in RWS’ intelligent content platform Tridion.Apr 3Apr 3
Combating AI Hallucinations with Knowledge GraphsIn this blog we look at how Graphwise is combating AI hallucinations with the power of knowledge graphs, which provides context to the…Mar 27Mar 27
Graphwise Merger: Semantic Web Company and Ontotext — GraphwiseSemantic Web Company and Ontotext have formed the Graphwise merger. Introducing the most advanced knowledge graph AI platform.Mar 7Mar 7
Lower your Large Language Model costs with Graphwise GraphDBThis blog post explores why GraphDB can help lower the cost of LLMs in production as compared to a pure vector database-based approach.Dec 6, 2024Dec 6, 2024
Advancing Automatic Knowledge Extraction with PubMiner AIWith the release of PubMiner AI, Graphwise aims to help researchers in the biomedical domain overcome the challenges in automatic knowledge…Nov 22, 2024Nov 22, 2024
Deploying Ontotext GraphDB on AWSA guide for deploying an Ontotext GraphDB high-availability cluster in your own AWS accountSep 27, 2024Sep 27, 2024
GraphDB in Action: Using Semantics To Push The Envelope Of Software Engineering, Machine Learning…Learn about three GraphDB-powered use cases in machine learning, software engineering, and e-health.Sep 11, 2024Sep 11, 2024
