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

See all articles

Sudhir Hasbe

Chief Product Officer, Neo4j

See all articles

Philip Rathle

Chief Technology Officer, Neo4j

See all articles

Most recent

Neo4j banner.

Why AI needs graph

Graph-driven AI for all: Neo4j Aura Agent enters general availability

Meet Lenny’s Memory: Building context graphs for AI agents

Developer

Boundary graph: Exploring the IPL through the lens of graphs

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

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

Graph database

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

Getting started with MCP servers: A technical deep dive

Scaling without limits: Infinigraph is now generally available

Vector search with filters in Neo4j

Powering India’s AI future with graph intelligence

Powering India’s AI future with graph intelligence

Empowering Microsoft Agent Framework with Neo4j knowledge graphs