Knowledge Graphs
By connecting siloed data into searchable semantic networks, NebulaGraph supports real-time updates and complex multi-hop queries—enabling organizations to surface contextual insights, enhance search relevance, and drive actionable discovery across diverse domains.
Intuitive Data Modeling
NebulaGraph’s property graph model adapts to evolving business logic, enabling rapid knowledge graph updates as new entities and relationships emerge.
High-Performance Graph Queries
Distributed architecture delivers sub-second multi-hop queries across billions of relationships for real-time insights from interconnected data.
Semantic Relationship Reasoning
Built-in graph algorithms infer implicit relationships and identify communities, extracting insights beyond basic connectivity patterns.
Detect Fraud Patterns Faster
NebulaGraph enables real-time analysis of complex relationships across transaction histories, user behaviors, and device fingerprints. By mapping connections between seemingly unrelated entities, organizations identify sophisticated fraud rings while reducing false positives.
Unify Customer 360 Views
NebulaGraph integrates cross-channel interactions and behavioral signals into a dynamic knowledge graph. This unified view reveals hidden connections between customer segments and preferences—enabling retailers to identify high-value customers based on purchase patterns and social engagement metrics.
Enhance GenAI with Semantic Context
NebulaGraph's knowledge graphs provide precise context for LLMs through relationship-aware retrieval. By connecting product attributes, user reviews, and technical specifications in a semantic network, enterprises eliminate hallucinations through graph-augmented search.
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