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

Neo4j joins forces with IBM to bring graph intelligence to enterprise AI customers

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

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

Graph Data Science: The secret to accelerating innovation with AI/ML

17 min read

GeneWeaver: Building a graph to map variants to genes using Neo4j 4.x and bulk import

14 min read

Monitoring the cryptocurrency space with NLP and knowledge graphs

13 min read

Discover AuraDB Free: week 16 – the CSV data importer tool

12 min read

Category creation: Emil Eifrem’s virtuous cycle & four tips for success

5 min read

Neo4j in the news – winter edition: Neo4j growth, big data, and cybercrime

4 min read

Doctor.ai, a voice chatbot for healthcare, powered by Neo4j and AWS

10 min read

Jim Webber with Dr. Edgar Osuna: Using graphs to take down fraudsters

18 min read
Smarter artificial intelligence with Neo4j and Google Cloud Vertex AI

Use graphs for smarter AI with Neo4j and Google Cloud Vertex AI

8 min read

Orai: Project planning with Neo4j

5 min read
Using knowledge graphs for digital twin.

Transforming innovation: Digital Twin for the win!

8 min read
What to look for in an embedded graph database

Neo4j as an embedded database: What to look for in an embedded graph database

10 min read