Bring More GenAI Pilots Into Production With Knowledge Graphs – Asia Pacific
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Uncover hidden patterns in your data and build intelligent apps with Neo4j, the world’s most used graph database.
Enterprise Customers
Developers building
Most popular graph database
Combine knowledge graphs, vector search, and data science to make your GenAI apps more accurate, relevant, and explainable.
Run queries up to 1000x faster than relational DBs with index-free adjacency. No JOINs required.
Cut schema design time from months to days with a data model that intuitively mirrors real-world relationships.
Enable better decisions and strategies by exploring your data’s hidden connections to surface valuable insights.
Secure, govern, and scale your graph with robust controls, encryption, and compliance across any cloud.
Graphs
Uptime SLA
Graph Algorithms
Premium Support
Retention Backup
Tools and resources to start building graph-powered apps today
Whether a beginner or an expert, level up your skills with our free courses.
Learn More
Easily import data from CSV, JSON, APIs, or integrations like Kafka and Spark. Use our intuitive tools to model your data as a graph, capturing entities and relationships without rigid schemas.
Use simple, intuitive queries with Cypher to find patterns in your data quickly — no more complicated JOINs or nested queries.
Visualize your data as graphs with our interactive tools. Spot patterns, refine queries, and explore relationships — no extra code required.
“Our collaboration with Neo4j helped us develop a successful fraud detection model that met our expectations. It’s a win-win partnership.”
Mehdi Barchouchi, Head of Innovation Data & Tools, Risk Division
“With Neo4j we can map possible exposures in seconds — something that previously took engineers hours and days to manually figure out.”
Chad Cloes, Senior Staff Software Engineer
“Congestion costs London £6 billion a year. We can make a big dent in that through managing this operation in real-time with Neo4j.”
Andy Emmonds, Chief Transport Analyst
“Deploying on Neo4j AuraDB allows us to focus our efforts on optimizing our models, knowing that the management of our graph database is under control.”
Eric Wespi, Data Scientist
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