Neo4j blog

Introducing Neo4j GraphAware Financial Crime Intelligence

Move from fragmented data to connected intelligence, for better detection, deeper investigations, and defensible decisions.

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

Scaling Karpathy’s LLM wiki: Why your knowledge base needs a graph

Independent study: GraphRAG makes AI agents 80% more truthful

Featured voices

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

Graph database

A complete guide to production-grade PrivateLink setup for Neo4j Enterprise Edition

The efficiency of on-demand graph analytics.

The persistence tax: Why it’s time to let your graph analytics sleep

Graph database

Capgemini turns data and AI into connected intelligence with Neo4j and Databricks

iscover the best tool for context engineering and build agentic AI with MCP, knowledge graphs, GraphRAG, and practical evaluation and tracing.

Agentic AI

Best tools for context engineering in agentic AI systems

Why healthcare CIOs can’t afford to scale AI without a knowledge graph foundation

Neo4j Community Edition advances for graph-powered AI and intelligent applications

Graph database

Neo4j Community Edition advances for graph-powered AI and intelligent applications

Neo4j and Databricks - Data to Knowledge

Graph database

Power connected intelligence for AI and analytics with Neo4j and Databricks

Neo4j brings high speed identity resolution to the Snowflake AI Data Cloud

Hey LLM, you’re using OPTIONAL MATCH wrong. Here’s the Cypher that actually works.

Agentic architecture is the system design that enables agentic systems to work efficiently towards the goal.

Agentic AI

What is agentic AI architecture? Common patterns and when to use them

What is GraphRAG?

The data strategy that makes truly personalized customer experiences possible