Neo4j blog

The knowledge layer for enterprise AI

A manifesto for context-rich enterprise AI

19 min read
Chart of the knowledge layer comprising ontologies, data, and memory

Independent study: GraphRAG makes AI agents 80% more truthful

4 min read
Illustration representing a context graph for AI agent memory

What is a context graph?

13 min read

Welcome, GraphAware

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

Hybrid retrieval for GraphRAG applications using the GraphRAG Python package

8 min read

Neo4j Python driver 10x faster with Rust

7 min read
Neo4j Expands Cloud Database Capabilities to Power Enterprise-Scale Graph Deployments

Neo4j expands cloud database capabilities to power enterprise-scale graph deployments

9 min read

Querying your Neo4j Aura database via HTTPS (again)

8 min read

Change data capture and Neo4j Connector for Confluent and Apache Kafka Go GA

9 min read
What is generative AI?

What is generative AI?

15 min read

Running Neo4j on a Commodore 64

36 min read

Introducing concurrent writes to Cypher subqueries

9 min read

Create a Neo4j GraphRAG workflow using LangChain and LangGraph

15 min read

Enriching vector search with graph traversal using the GraphRAG Python package

7 min read

Ingesting documents simultaneously to Neo4j & Milvus

6 min read

Integrating Microsoft GraphRAG into Neo4j

22 min read