Why Neo4j

A graph database provides a smarter, faster way to work with highly connected data, eliminating the need for complex joins or constant recoding.

In this video, learn how organizations can use graph databases and knowledge graphs to preserve the relationships in their data, mirror how real businesses operate, and unlock the context needed for AI-ready data. By connecting data as networks, hierarchies, paths, and journeys, graph technology reveals the bigger interconnected picture that traditional databases miss.

With Neo4j, teams can:

Query connected data up to 1,000x faster without joins
Use a flexible schema to adapt quickly as business requirements change
Apply graph algorithms to discover hidden relationships and deeper context
Build more accurate, explainable, and trustworthy LLM and GenAI applications
Scale securely to hundreds of millions of nodes and relationships

Graph databases transform raw data into knowledge—powering better predictions, smarter decisions, and intelligent applications at enterprise scale.

Build AI-ready data foundations.
Get smarter insights.
Build intelligent apps and AI systems more easily with Neo4j.

MORE: https://bit.ly/49afifp

Check out Emil Eifrem, CEO, Neo4j and Andrew Ng’s from @Deeplearningai #NODES2025 talk, here https://bit.ly/49vIxID

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