Neo4j blog

Neo4j Context Engine: Rapidly build dependable enterprise agents

Neo4j Context Engine, now in private preview, enables AI agents to accurately answer questions about your business and reliably execute its processes.

5 min read
MIT Technology Review Insights report cover, Connecting AI agents to enterprise knowledge

MIT Technology Review Insights research explains why 13% of companies have a 61% AI success rate

6 min read
Agentic GraphRAG illustration showing an agent reasoning loop connected to a knowledge graph

Agentic GraphRAG: How does an AI agent use a knowledge graph?

9 min read

Introducing Neo4j GraphAware Financial Crime Intelligence

8 min read

Emil Eifrem

CEO & Founder, Neo4j

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Sudhir Hasbe

Chief Product Officer, Neo4j

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Philip Rathle

Chief Technology Officer, Neo4j

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Most recent

How to improve supply chain forecasting with predictive analytics

6 min read

Neo4j wins Google Cloud Technology Partner of the Year Award

5 min read

Neomodel: Python OGM for Neo4j extends version support and moves to Neo4j Labs

4 min read

Introducing Neo4j’s brand visual identity refresh for the next phase of our growth

2 min read

Building an educational chatbot for GraphAcademy with Neo4j

15 min read

Neo4j’s vector search: Unlocking deeper insights for AI-powered applications

3 min read

How to integrate Neo4j with SSO on Azure: One login to rule them all

19 min read

Data consistency models: ACID vs. BASE explained

6 min read

Creating a custom connector in Confluent Cloud to sink data to Aura for real-time analysis (part 2)

13 min read

Learning Neo4j your way

11 min read

Conversational Artificial Intelligence with Neo4j and the Unreal Engine—Part 3

7 min read

Building a recommendation engine using Neo4j hands-on—Part 2

15 min read