Data sources and models
Internal data, reports, dashboards, and systems
Data Marketplace
Metadata catalog, APIs, and data-ready products
Data Virtualization
Virtual data products and virtual knowledge graphs
Vector databases
knowledge graphs
Semantic Model
Taxonomies and ontologies
Semantic Query
Semantic model natural language queries and semantic graph visualizations
Semantic Knowledge
Data Customers
Business users, web apps, and reporting functions
Semantic layer
Formed by the interplay of data sources, ontologies and databases that make organizational knowledge explicit to AI systems.
What are taxonomies and ontologies?
A formal map of business meaning that defines entities, attributes, relationships and rules. The model is applied to data as it passes through the semantic layer.
What are vector databases and knowledge graphs?
They embed implicit meaning into unstructured content such as emails, chats, and documents that support trustworthy RAG and agentic workflows.