Read about how a top-5 global pharma company transformed a fragmented preclinical in vivo data landscape into a semantically rich knowledge graph
read moreArchive for "Knowledge Graph"
Fundamental
What Is a Semantic Backbone?
The Semantic Backbone serves as a source of truth, unifying data silos & providing contextual grounding for scalable and trustworthy Agentic AI.
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Resource
Building Taxonomies with AI
Download this white paper to discover why GenAI doesn’t replace taxonomies and how Graphwise platform bridges the gap between SMEs and taxonomists by using AI to automate hierarchies, synonyms, and definitions.
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Blog Post
From Data Exchange to Knowledge Exchange: Why Context is the Missing Layer in Enterprise AI
Read about the origins of the semantic web, the rise of enterprise knowledge graphs, their relationship to AI, and what it actually takes to get started.
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Blog Post
Automating Data Privacy Compliance: Knowledge Graphs, Generative AI, and Real-Time Risk
Read about how How to use knowledge graphs and GenAI to automate data privacy compliance and govern emerging AI use cases effectively.
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Blog Post
GraphDB 11.3: Safer Backups, Smarter AI Integrations, and a Workbench That Feels at Home in Graphwise
Read about GraphDB 11.3, which brings safer data management, cutting-edge MCP support & a new Python client.
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Blog Post
From Retrieval to Reasoning: Enhancing HippoRAG with Graph-Based Semantics
Read about how an ontology-based knowledge graph boosts the multi-hop Q&A accuracy of one of the leading schemaless GraphRAG systems
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Fundamental
What Is a Knowledge Graph?
Knowledge graphs are a collection of interlinked descriptions of entities that put data into context and enable data analytics & sharing.
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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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