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

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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

Run Cypher from Java

Integrating Neo4j with LangChain4j for GraphRAG vector stores and retrievers

Aura graph analytics: A technical deep dive

Introducing Neo4j Aura Graph Analytics: Scalable, easy-to-deploy graph analytics for any data source

Agentic GraphRAG for commercial contracts

Simplify modern application development with GraphQL on Neo4j AuraDB

Text2Cypher: The impact of difficult example selection

Is a knowledge graph a graph database?

Transform static risk assessment into a dynamic data-driven strategy

LLM knowledge graph builder back-end architecture and API overview

Build an intelligent movie search with Neo4j and Vertex AI

Neo4j and Google Distributed Cloud: Bringing graph technology to air-gapped environments