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The missing piece in the modern data landscape is “semantics” & “context”. This is why most organizations today struggle to effectively implement AI, due to fragmented, ambiguous data, content, and metadata that reside across silos.
This white paper explores how the semantic layer can be constructed using Graphwise’s comprehensive suite of products, enabling enterprises to develop context-aware applications while minimizing AI hallucinations through GraphRAG (retrieval augmented generation).
It covers how a semantic layer enables data ecosystems to become AI-ready and deliver tangible business value through enhanced data quality, consistency, and interoperability.