Knowledge Graph Services support the creation, maintenance, and querying of knowledge graphs—data structures that capture relationships and dependencies among data points. These graphs represent organizational knowledge in a way that supports complex queries, inference, and context-driven insights, which is especially useful in a Data Fabric or Data Mesh architecture. Knowledge Graph Services bring powerful relationship mapping and contextual awareness to enterprise data ecosystems, enhancing decision-making by enabling advanced queries and data exploration. Key Features: * Entity Definition: Allows for the definition of entities, attributes, and relationships, making it easy to build a network of connected data points. * Semantic Search & Reasoning: Enables users to run sophisticated semantic queries, perform inferences, and discover patterns based on relationships defined in the graph. * Real-Time Analytics Support: Offers dynamic data relationships for near real-time analytics and operational decision-making. * Integration with Ontology and Metadata Management: Works in conjunction with ontology and metadata management services, enriching data with contextual meaning and supporting AI and ML applications.