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

Finding the Ultimate Beneficial Owner in a Pile of KYC Documents with Document Intelligence

13 min read

Bringing Neo4j into Laravel

6 min read
Ownership change - featured

Corporate KYC: Can you see when the owners change?

5 min read

Why Every Forged-Parts Tariff Answer Is Stale by Monday.

15 min read

Graph Embeddings, One Line of Code Away

8 min read

Connected Intelligence: Accelerating Enterprise AI throughout the cloud ecosystem

6 min read

Multiple databases now generally available in AuraDB

4 min read

The investigation is moving. Can your data keep up?

2 min read

Wherever you’re building agents, Neo4j is already there

8 min read

Easily build a knowledge graph from your existing documents with Document Intelligence

5 min read

Beyond the return: who controls the business?

7 min read

What is contextual retrieval? How AI agents find the right context

9 min read