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Enterprise Knowledge Graphs & Graph RAG | Semantic AI

Jul 17, 2026 · 58m 17s
Enterprise Knowledge Graphs & Graph RAG | Semantic AI
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Artificial intelligence is only as effective as the knowledge it can access, understand, and reason over. While traditional Retrieval-Augmented Generation (RAG) improves AI responses, the next evolution is Graph RAG—combining...

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Artificial intelligence is only as effective as the knowledge it can access, understand, and reason over. While traditional Retrieval-Augmented Generation (RAG) improves AI responses, the next evolution is Graph RAG—combining enterprise knowledge graphs with generative AI to create context-aware, explainable, and highly accurate intelligent systems.
In this episode, we explore The Semantic Backbone: Enterprise Knowledge Graphs and Graph RAG, revealing how organizations are transforming disconnected enterprise data into structured knowledge networks that power AI agents, decision intelligence, and autonomous business operations.
Learn how knowledge graphs capture relationships between people, products, customers, processes, policies, and business assets, enabling AI to reason across complex enterprise environments with greater precision and transparency.
Discover why Graph RAG is becoming the foundation of next-generation enterprise AI by improving search, reducing hallucinations, strengthening governance, enhancing explainability, and supporting multi-agent collaboration at scale.
Whether you're a CEO, CIO, CTO, Chief AI Officer, Chief Data Officer, enterprise architect, AI engineer, data scientist, or technology strategist, this episode provides a strategic blueprint for building intelligent enterprises powered by semantic technologies.
In This Episode, You'll Learn:
What enterprise knowledge graphs are
The evolution from RAG to Graph RAG
Semantic AI and knowledge representation
Graph databases for enterprise intelligence
AI reasoning using connected data
Reducing AI hallucinations with Graph RAG
AI agents powered by enterprise knowledge
Knowledge graphs for decision intelligence
Enterprise ontology design principles
Metadata, taxonomy, and semantic modeling
AI governance and trusted knowledge systems
Enterprise search and contextual retrieval
Multi-agent collaboration through shared knowledge
Data lineage and semantic governance
AI explainability and transparency
Building enterprise memory systems
Scaling semantic AI architectures
Future enterprise knowledge platforms
Competitive advantage through connected intelligence
The future of Graph RAG and autonomous enterprises
Discover how enterprise knowledge graphs and Graph RAG are redefining artificial intelligence by enabling smarter retrieval, deeper reasoning, trusted automation, and scalable enterprise intelligence.
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Author Mark M Pearson
Organization Mark M Pearson
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