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 create conditional and dynamic queries in Neo4j Bloom

15 min read

Knowledge graphs empower your data to do more!

2 min read

How to mock Neo4j calls in Node

13 min read

Fetching large amount of data using the Neo4j reactive driver: The Bloom case

8 min read

Graph for customer golden profile & fraud detection: 5-minute interview with Allianz Benelux

7 min read

Neo4j 4.3 blog series: Relationship indexes

9 min read

Announcing $10,000 Leonhard Euler Idea Contest winners

5 min read
Why DTCP decided to invest in Neo4j

Why DTCP decided to invest in Neo4j

4 min read

Building interactive Neo4j dashboards with NeoDash 1.1

5 min read
Introducing Aura Free Tier EAP Launch

Announcing early access of Neo4j AuraDB free tier

3 min read
Check out Emil's statement on Neo4j's largest funding round in database history.

Neo4j raises the largest funding round in database history

5 min read

Behind the scenes of creating the world’s biggest graph database

8 min read