Neo4j blog

Neo4j Context Engine: Rapidly build dependable enterprise agents

Neo4j Context Engine, now in private preview, enables AI agents to accurately answer questions about your business and reliably execute its processes.

5 min read

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

10 min read

Introducing Neo4j GraphAware Financial Crime Intelligence

8 min read

Independent study: GraphRAG makes AI agents 80% more truthful

4 min read

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

Entity resolved knowledge graphs: A tutorial

Entity resolved knowledge graphs: A tutorial

25 min read
GQL, the future of graph databases is here.

ISO GQL: A defining moment in the history of database innovation

6 min read
LangChain Library now supports Neo4j vector index.

LangChain library adds full support for Neo4j vector index

6 min read

Maximizing your Neo4j project’s potential: An in-depth guide to solution assessment

3 min read

Graph data models for RAG applications

6 min read

Neo4j brings GraphRAG capabilities for GenAI to Google Cloud

8 min read

Neo4j is now SOC2 Type 2 compliant

2 min read

Enhancing RAG with Neo4j Cypher and vector templates using LangChain agents

17 min read

Enhancing the accuracy of RAG applications with knowledge graphs

10 min read

Introduction to vector indexes and unstructured data – New GraphAcademy course

1 min read
Neo4j is thrilled to collaborate with Microsoft on a unified data offering.

Neo4j integrates with Microsoft to evolve data analytics and enhance GenAI

10 min read

Cypher sleuthing: How to find property data types in Neo4j

5 min read