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 Data Science

What’s the ROI of a graph technology investment?

Learn why we just closed the largest single investment in the graph technology space and what's next

News

We just closed the largest single investment in the graph space. Now what?

Building a Neo4j Memory and Graph Agent for IBM watsonx Orchestrate

Graph database

What is graph technology? And why it’s the future of enterprise AI

Government

Public sector workforce intelligence and compound questions

Connected Intelligence: Operationalizing Production-Grade Graph Solutions Across Enterprise Networks

Zero-Copy Graph Reasoning on Snowflake: Getting Started With Neo4j Virtual Graph

Zero-Copy Graph Reasoning on Snowflake: Getting Started With Neo4j Virtual Graph

Introducing Document Intelligence: From documents to a knowledge graph, right inside Aura

New research finds enterprises earn 230% ROI with Neo4j Graph Intelligence Platform

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

Developer

Building a Neo4j graph agent for Gemini Enterprise

Graph database

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