Neo4j blog

Neo4j Context Engine: Rapidly build dependable enterprise agents

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

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

Introducing Neo4j GraphAware Financial Crime Intelligence

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

Developer

Take part in user research and help shape the future of Neo4j

Integrating Neo4j with Symfony: Profiling queries and centralized logging

Neo4j graph analytics for Snowflake: Bringing graph-powered insights to the AI Data Cloud

Beyond vector search: Unleashing the power of GraphRAG for smarter recommendations

What are the different types of graph algorithms & when to use them?

News

Why Neo4j’s IMDA accreditation matters for graph tech adoption in Singapore

Under the covers with LightRAG: Retrieval

GenAI

Maximize generative AI outcomes, minimize generative AI risks

Graph analytics applications and use cases

Under the covers with LightRAG: Extraction

Mahabharata 2.0: From scrolls to soundwaves (Part 4)

Announcing the Neo4j graph workload for Microsoft Fabric