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

Declarative route planning with Cypher 25—Graph traversal grows up

12 min read
Diagram of OneLake, Microsoft Fabric, and Neo4j.

Announcing general availability of Neo4j Graph Intelligence for Microsoft Fabric

5 min read

Streamline data ingestion with the Neo4j Aura Import API

6 min read

Use sentiment analysis to understand risk appetite

20 min read

New GraphAcademy course: Aura Fundamentals

2 min read
US government building

From data chaos to clarity: How connected data can improve US government decision-making

6 min read
A constellation of Orion represented as a graph with nodes and relationships.

Advanced RAG techniques for high-performance LLM applications

16 min read

Solve hard graph problems with Cypher 25

7 min read

Find similar patient journeys with Neo4j Aura graph analytics

7 min read

Analyze graphs directly in Snowflake — The wait is over

14 min read

How a $28 part can bring down a $5M machine—and how GenAI stops it

5 min read

Production-proofing your Neo4j Cypher MCP server

7 min read