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Neo4j Context Engine
Agents that get your business. Answers you can trust.
Gives agents the context they need to answer questions, with every answer and step governed and explainable.
Fluent in your business
Every agent reads your terms, systems, and rules the way your business does.
Built to explain
See the path behind every answer, so you can trust and defend it.
Smarter with every decision
Every agent remembers validated decisions, so each one starts smarter.
Compatible with your stack
Reach the LLM, agent framework, and data platforms you already run.
Define your business once.
Serve it to every agent.
Context Engine is built on a six-layer ontology that allows you to trust agents with your business’ most important decisions.
Business ontology
A six-layer graph model that maps your organization, processes, data, and AI assets to the systems underneath.
AI-assisted build
Builds the ontology across systems and proposes mappings with AI. Nothing is published without human validation.
Universal context
Serve context to any agent over MCP and APIs, with GraphRAG retrievers and headless or CLI operation.
Context memory
Short-term, long-term, and reasoning memory live in the same graph as your business knowledge. Only validated learning is reused.
Embedded database
An embedded Neo4j database ships with Context Engine, so you do not buy and operate one separately.
Use Cases
Two ways to put agents to work
Both start from the same shared, governed view of your business.
Conversational analytics
Ask questions across your whole data estate in plain language and get answers that show where they came from.
Business process automation
Agents carry out your existing processes step by step, with every step traceable and every permitted action governed.
Loved by devs. Deployed worldwide.
1,700+ organizations build on Neo4j for data breakthroughs. Build with a comprehensive platform for modeling, managing, and retrieving context.
