Skip to content

Neo4j to acquire GraphAware, launch new open-standards intelligence analysis solutions | Read more

Products
Solutions
- INDUSTRIES
- Financial services
- Healthcare & life sciences
- Retail
- Telecommunications
- US federal government
- TECHNICAL PATTERNS
- Digital twin
- Knowledge graphs
- Metadata management
- Pattern matching
- USE CASES
- AI systems
- Customer experiences
- Data privacy, risk, & compliance
- Fraud
- Identify & access management
- Network & IT
- Real-time recommendations
- Supply chain
- PARTNERS
- AWS
- Databricks
- Google Cloud
- Microsoft Azure
- Snowflake
- Partner directory
- Become a partner
- Customer success stories
- Neo4j Startup Program
Why Neo4j
- FOR EXECUTIVES
- Executive insights
- AI systems
- IDC business value study
- CUSTOMERS
- Customer success stories
- Contact Sales
Developers
- LEARNING CENTERS
- Dev Center Best practices, guides, tutorials, and downloads
- Graph Academy Free online courses and certifications. Join the 100k+ Neo4j experts.
- DEV RESOURCES
- Community
- Discord
- Developer blog
- Documentation
- Downloads
- Deployment Center
- BUILD WITH AI
- AI + graph
- GraphRAG
- Agent memory
- Model Context Protocol (MCP)
- Customer support
Resources
Pricing
Aura Login
Support

Get started free Contact us

Graph Intelligence Platform

We are the knowledge layer that delivers accurate, explainable, and trusted AI.

Get started free
Fully-managed

AuraDB Store and query connected data at scale

Virtual Graph Create and query a knowledge graph on existing data

Aura Graph Analytics Run graph algorithms on any data, any cloud

Aura Agent AI Build and deploy context-aware agents fast

Fleet Manager Manage all your Neo4j deployments from one place

Self-managed

Graph Database Store connected data with a graph database

Graph Data Science Run graph algorithms on connected data

Bloom Securely query, explore, and visualize data
AI Capabilities AI

AI systems

GraphRAG

Knowledge layer
Solutions

AI and graph technologies give agents the understanding they need to generate trustworthy outputs, and humans the understanding they need to make better decisions.

Customer success stories

Neo4j Startup Program

Get started free
Industries

Financial services

Healthcare & life sciences

Retail

Telecommunications

US federal government

Technical patterns

Digital twin

Knowledge graphs

Metadata management

Pattern matching

Use cases

AI systems AI

Customer experiences

Data privacy, risk, & compliance

Fraud

Identify & access management

Network & IT

Real-time recommendations

Supply chain
Partners

AWS

Databricks

Google Cloud

Microsoft Azure

Snowflake

Partner directory

Become a partner
Why Neo4j

The knowledge layer that makes AI precise, trusted, and built to scale.

Contact Sales

Get started free
For executives

Executive insights

AI systems AI

IDC business value study

Customers

Customer success stories
The business value of Neo4j

IDC business value study Better context. Trustworthy AI. 230% ROI. See full story
Developers

Discover how to model a knowledge graph, retrieve context with GraphRAG, connect agents with MCP, and build trustworthy AI that reasons over connected data.

Customer support

Get started free
Learning centers

Dev Center Best practices, guides, tutorials, and downloads

Graph Academy Free online courses and certifications. Join the 100k+ Neo4j experts.

Dev resources

Community

Discord

Developer blog

Documentation

Downloads

Deployment Center
Build with AI AI

AI + graph

GraphRAG

Agent memory

Model Context Protocol (MCP)
Resources

Everything you need to take AI from concept to production.

Customer support

Get started free
Learn

Blog Announcements, guides, and best practices

Customer success stories Case studies, customer videos, proof points, and more

GraphAcademy Free online courses and certifications

Resource library Whitepapers, datasheets, and more

Events hub Live and on-demand events, training, webinars, and demos

Video hub Covering graph databases, data science, analytics, and AI
Featured events

World tour 2026 Graphs + AI: Transform your data into knowledge.

Free 24-hour global event The largest online conference dedicated to engineering better intelligence.
Pricing

Blog home
Developer
GenAI
News

hierarchical graph layout

Learn about the newest features in Neo4j Bloom 1.4

Graph visualization

Graph visualization just got easier: Introducing Neo4j Bloom 1.4!

Build intelligent apps easily

Transform your data into knowledge to build smart, accurate, and adaptive applications.

Start Building

Products

AuraDB
Aura Graph Analytics
Aura Agent
Bloom
Community Edition
Cypher Query Language
Fleet Manager
Graph Database
Graph Data Science
GraphQL
Knowledge layer
Pricing
Virtual Graph

Solutions

AI Systems
Case studies
GenAI
GraphRAG
Industries & use cases
Knowledge graphs
Model context protocol (MCP)
Pattern matching

Developers

AI + graph
Agent memory
Community
Developer home
Documentation
Deployment Center
Developer blog
GraphAcademy
Release notes

Data Scientists

Data science community
Data science documentation
Get started with graph data science
Graph data science home
GraphAcademy for data science

For Executives

Customer success stories
Executive insights
IDC business value whitepaper

Resources

Blog
Events hub
GraphAcademy
GraphSummit
NODES
NODES AI
Resource library
Research center
Video hub
Webinars

Partners

Become a partner
Find a partner
OEM partners
Partner portal login
Solution partners
Technology partners

Company

About Us
Awards and honors
Careers
Culture
Graphs4Good
Leadership
Newsroom
Support
Trust center

US: 1-855-636-4532
Sweden: +46 171 480 113
UK: +44 20 3868 3223
France: +33 (0) 1 88 46 13 20
Singapore: +65 6859 0336
Australia: +61 2 8395 2895
India: +91 6827 521 210

Social Networks

© 2026 Neo4j, Inc.

Terms | Privacy Notice | Sitemap
Anti-Corruption Policy

©2026 Neo4j, Inc., Neo Technology®, Neo4j®, Cypher®, Neo4j Bloom^™, Neo4j Graph Data Science Library^™, Neo4j® Aura^™, and Neo4j® AuraDB^™ are registered trademarks or a trademark of Neo4j, Inc. All other marks are owned by their respective companies.