Enterprise Knowledge Graph

Build enterprise knowledge graphs with unmatched flexibility, performance, and scalability.

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Graph Structure, and Knowledge

Discover the intrinsic value of knowledge graphs, rooted in the interconnected nodes and edges that mimic our brain's natural organization.

Silos to Context

Graphs enable seamless data integration and agile model adjustments in dynamic business environments, breaking down information silos.

Breeding Ground for Insights

Preserved relationships facilitate deep traversal for analytics, machine learning, and explainable AI across your enterprise data.

Knowledge Graph Use Cases

Enterprise knowledge graphs power intelligent applications across industries.

Semantic Search

Enable context-aware search that understands meaning and relationships, delivering more relevant results than keyword-based approaches.

Recommendation Systems

Leverage relationship patterns to power intelligent recommendations for products, content, and services based on user behavior and preferences.

Data Integration

Unify disparate data sources into a coherent knowledge layer, enabling holistic views of entities across systems and databases.

AI/ML Enhancement

Enrich machine learning models with structured knowledge, improving accuracy and enabling explainable AI for critical decisions.

Core Capabilities

Ultipa Graph provides powerful capabilities for building and querying enterprise knowledge graphs.

Intuitive Data Representation

Rich Internal Structure

Attributes stored as key-value pairs linked to nodes and edges create compact, intuitive representation of complex enterprise knowledge.

Edge Property Graph Model
GQL
// Circular payment money laundering pattern
MATCH paths = (holder:cardHolder)-[:holds]-(:card)
  (-[e1:transactsTo]-()-[e2:transactsTo]-()
  WHERE e2.time > e1.time){1,10}
  (:card)-[:holds]-(holder)
RETURN paths
Response time: 0.42ms
Expressive and Speedy Query

Deep Queries in Microseconds

Use GQL to seamlessly interact with Ultipa's storage and compute engine, enabling complex graph traversals at unprecedented speed.

Built-in Graph Algorithms

Advanced Analytics and XAI

Algorithms span multiple categories, written in C/C++, many designed for parallel processing to deliver explainable AI insights at scale.

Graph Algorithms
// Louvain the community detection algorithm
CALL algo.louvain.run(<hdcGraphName>, {
  phase1_loop_num: 10,
  min_modularity_increase: 0.001,
  edge_schema_property: @connects.weight
}) YIELD results
RETURN results
60+ built-in algorithms

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