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

NODES 2026 Call for Papers open until June 15, 2026

NODES 2026 is coming up: Submit your talk

2 min read
ServiceNow+Neo4j

Turning ServiceNow data into connected enterprise intelligence

11 min read

Building graph-based agentic systems: Failures, fixes, and how the answer gets there — Part 2

19 min read

SumoDB in Neo4j: Graph Analytics in Snowflake — Part 2

5 min read
Get start With Neo4j Aura Cloud Graph Database Network

Getting started with Neo4j Aura: A guide to the leading cloud graph database

3 min read
Learn what agentic RAG is, how it works, which design patterns to use, and when it beats traditional RAG.

Agentic RAG: What it is, how it works, and when to use it

17 min read

Introducing Neo4j Agent Skills

5 min read

Introducing Asynchronous I/O in Neo4j using io_uring

5 min read

SumoDB in Neo4j: Graph Analytics of Grand Sumo

5 min read

Building stateful AI: Integrating Aura Agent lifecycle with MCP and persistent memory

15 min read

Precise economic policy in a world of chaos

13 min read
GraphAcademy content is moved into Neo4j Aura, and an Aura Agent used to provide MCP server access to VS Code, Cursor, and Claude agents.

Can I use Aura Agents to create an MCP enabled teacher?

8 min read