Nikolaos Vasiloglou on Knowledge Graphs and Graph RAG

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Jun 9, 2025

Nikolaos Vasiloglou, Vice President of Research ML at Relational AI, discusses the transformative role of knowledge graphs in data analytics. He explores how Generative AI is enhancing entity linking and easing complex processes for businesses. The conversation highlights the critical components for implementing Graph RAG solutions and the emerging trends in AI applications. Vasiloglou also addresses challenges like data integration and privacy concerns, offering insights into the future of knowledge graph technologies in enterprise contexts.

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INSIGHT

Understanding Knowledge Graph and Graph RAG

Knowledge graphs structure information as entities and relations readable by humans and machines alike.
Graph RAG uses these structured entities to retrieve precise context for improved question answering.

INSIGHT

Strength of Structured Querying

Knowledge graphs excel when queries can be converted into formal database queries, ensuring accurate, auditable results.
For complex, unstructured queries, text retrieval combined with language models remains essential.

ADVICE

Starting With GraphRAG Implementation

You can start using GraphRAG from open-source frameworks or managed services without extensive graph infrastructure.
Investing in automated knowledge graph construction enables scalable and reusable enterprise-grade insights.

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