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

Neo4j joins forces with IBM to bring graph intelligence to enterprise AI customers

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

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

BioCypher: Unifying framework for biomedical knowledge graphs

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Streamline your API development with Neo4j, GraphQL, and StepZen

17 min read

Build a routing web app with Neo4j, OpenStreetMap, and Leaflet.js

20 min read

Bluesky user interaction graph—Discover AuraDB free (week 47)

13 min read

Neo4j AuraDB Enterprise now available on Microsoft Azure

3 min read

Native vs. non-native graph database

10 min read

NODES 2023 is coming in October, and you’re invited!

3 min read

Generating Cypher queries with ChatGPT 4 on any graph schema

17 min read

How Apna built a better job search experience with graph database

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Global Graph Celebration Day 2023: Join us for raffle & crossword

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Top speakers to watch out for at GraphSummit Europe 2023

2 min read

Graphs4APAC: Enabling, empowering & engaging professionals in APAC

2 min read