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
MIT Technology Review Insights report cover, Connecting AI agents to enterprise knowledge

MIT Technology Review Insights research explains why 13% of companies have a 61% AI success rate

6 min read
Agentic GraphRAG illustration showing an agent reasoning loop connected to a knowledge graph

Agentic GraphRAG: How does an AI agent use a knowledge graph?

9 min read

Introducing Neo4j GraphAware Financial Crime Intelligence

8 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

BambooHR to Neo4j integration

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Neo4j as an embedded database: The key use cases of graph databases

9 min read

A year when relationships mattered

3 min read

Discover AuraDB Free: Week 17–analyzing NFT trades

10 min read

How to build a JSON RESTful API with Neo4j, PHP, and OpenAPI

13 min read

Graph Data Science: The secret to accelerating innovation with AI/ML

17 min read

GeneWeaver: Building a graph to map variants to genes using Neo4j 4.x and bulk import

14 min read

Monitoring the cryptocurrency space with NLP and knowledge graphs

13 min read

Discover AuraDB Free: week 16 – the CSV data importer tool

12 min read

Category creation: Emil Eifrem’s virtuous cycle & four tips for success

5 min read

Neo4j in the news – winter edition: Neo4j growth, big data, and cybercrime

4 min read

Doctor.ai, a voice chatbot for healthcare, powered by Neo4j and AWS

10 min read