Neo4j is acquiring GraphAware, our longtime partner and a leading provider of intelligence analysis software for government agencies.
Build GraphRAG From Scratch: Learn how to feed your LLM context to boost RAG performance, accuracy, and traceability in Essential GraphRAG from Manning.
Independent research: GraphRAG makes AI agents 80% more truthful
Build the knowledge layer for AI you can trust
A knowledge layer provides the context, memory, and map of your data that your AI needs to make trustworthy decisions. It connects your essential enterprise knowledge to your AI and agentic systems, so that AI can understand the relationships, history, and decisions behind your business.
Benefits
Contextual, AI-ready data
Get accurate, explainable, and complete data for AI with a knowledge graph.
Quickly build next-gen apps
Build with a comprehensive, easy-to-use, trusted database.
Build everywhere, with everyone
Build with a comprehensive, easy-to-use, trusted knowledge layer.
Enterprise-grade
Secure, govern, and scale your graph with robust controls, encryption, and compliance across any cloud.
100s TB
Graphs
99.95%
Uptime SLA
65+
Graph algorithms
24x7x365
Premium support
90-Day
Retention backup
Manage context to build smarter agentic AI
Keep your agents intelligent with adaptive data capabilities that evolve as users interact, requirements shift, and AI advances. Provide accurate, explainable LLM outputs with Agentic GraphRAG.
Get started your way
Tools and resources to start building graph-powered apps today.
GraphAcademy
Whether a beginner or an expert, level up your skills with our free courses.
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Import & model
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.
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Query
Use simple, intuitive queries with Cypher to find patterns in your data quickly — no more complicated JOINs or nested queries.
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Explore
Visualize your data as graphs with our interactive tools. Spot patterns, refine queries, and explore relationships — no extra code required.
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“Agentic AI without a knowledge graph is like a self-driving car with no GPS map. Kind of brilliant, but dangerously unaware.”
Natalie Romanov, Associate Director, Knowledge Management & Data Strategy, Merck Group
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“Graph databases are a natural way to express interconnected data. The simplicity extends from humans to LLMs — making our configurations more accessible and explainable.”
Vignesh Murugesan, Senior Staff Engineer, Uber
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“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, BNP Paribas Personal Finance
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“We were effectively using this disparate data through Excel sheets. None of this data was aligned or real-time, and what we needed was to be a real-time operator - to do that, we needed a digital twin.”
Andy Emmonds, Chief Transport Analyst, TfL
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“We're using Neo4j not as just a data store, but as a place to analyze data and store those new characteristics of the data back in the graph and then extract it for traditional analysis,”
Eric Wespi, Data Scientist, Boston Scientific
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“Intuit is a large company with an enormous presence. Mapping that much computing and network infrastructure is already a huge challenge. But then we need to think about attribution, prioritization, and hygiene as well. Understanding who owns which endpoint, which vulnerabilities are most critical, and what infrastructure is no longer being used, ups the ante considerably.”
Zach Probst, Staff Software Engineer, Intuit
Works seamlessly with your tech stack
Neo4j integrates with leading technology providers
