Knowledge graphs are a collection of interlinked descriptions of entities that put data into context and enable data analytics & sharing.
read moreArchive for "Knowledge Graph"
Fundamental
What Is a Large Language Model?
Large Language Models (LLMs) are Machine Learning models that are trained on massive datasets of text to understand, summarize, generate and predict language.
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Fundamental
What Is Ontology?
An ontology is a rulebook defining concepts within a specific domain, their properties, and their relationships, ensuring a common understanding of information and enabling organizations to make better sense of their data.
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Blog Post
AstraZeneca: Enabling New Medicines Through Semantic Knowledge Graphs
Read this abbreviated & updated version of a talk from the Graph AI Summit 2025 by Ben Gardner, AstraZeneca
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Blog Post
Lessons Learned from Building an AI-ready Knowledge Hub
Read about how we reimagined content to deliver actionable, context-aware knowledge through the Graphwise Knowledge Hub.
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Blog Post
GraphDB 11.2: Real-Time Similarity Search for AI-Ready Knowledge Graphs
Read about how GraphDB 11.2 brings a faster, smarter, and always current semantic search for enterprise knowledge graphs.
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Blog Post
AI-ready Graph Environments: The Key to Scaling AI with Graphwise’s Knowledge Graphs
Read about why most enterprise AI fails and how Graphwise creates graph environments using knowledge graphs and semantics.
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Blog Post
How to De-Risk Your AI Strategy and Deliver Results Faster with an Accelerator Program
Read about why enterprise AI efforts carry high risk and how the Graphwise Accelerator Program helps teams deliver results faster.
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Blog Post
Bring Your Enterprise Information Security Management System with GraphRAG to the Next Level
Read abou how GraphRAG systems enhance enterprise information security management by using knowledge graphs
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Blog Post
Why Semantic Layers and GraphRAG Are Essential for Trustworthy AI
Read about how semantic layers and GraphRAG provide the essential foundation for building trustworthy AI systems
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