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

Vector RAG vs. GraphRAG: Which retrieval do you need?

10 min read

Introducing Neo4j GraphAware Financial Crime Intelligence

8 min read

Independent study: GraphRAG makes AI agents 80% more truthful

4 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

Agentic AI vs. generative AI: Why agents need memory, context, and guardrails

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Why LeBron James shouldn’t drive your recommendations: The intuition behind the Jaccard coefficient

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Building a seamless data pipeline with Neo4j CDC and GCP Pub/Sub

7 min read

Getting started with MCP servers: A technical deep dive

15 min read

Scaling without limits: Infinigraph is now generally available

3 min read

Vector search with filters in Neo4j

8 min read
Powering India’s AI future with graph intelligence

Powering India’s AI future with graph intelligence

5 min read

Empowering Microsoft Agent Framework with Neo4j knowledge graphs

3 min read

How to deploy the Neo4j MCP server to GCP Cloud Run

14 min read

Why AI teams are moving from prompt engineering to context engineering

19 min read

Hands on with context graphs and Neo4j

11 min read
Fighting financial fraud with graph technology

Fighting financial fraud with graph technology

5 min read