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

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

Going meta: Two years of knowledge graphs

4 min read

Explore iterative refinement for Text2Cypher

5 min read

Verify Neo4j Cypher queries with CyVer

15 min read

Managing risk in a manufacturing plant with Neo4j Aura graph analytics

10 min read
Illustration of AI at the center of the bullseye

Neo4j invests $100 million in GenAI and launches key agentic AI innovations

6 min read