Neo4j Blog

From data to intelligence: Why every enterprise needs an AI knowledge layer

The knowledge layer maps and resolves data so AI can accurately answer questions, make better decisions, and be explainable.

4 min read

Agent tools: What they are, how they work, and how AI agents use them

13 min read
Agent Memory

A knowledge layer for your agentic systems on Google Cloud

4 min read

The data strategy that makes truly personalized customer experiences possible

9 min read

Emil Eifrem

CEO & Co-Founder, Neo4j, Inc.

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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

Level up your product data management with AI and knowledge graphs.

Deciphering Product DNA: Next-Level PDM with AI & Knowledge Graphs

4 min read
Learn more about moving towards AI standards with graph technology.

Toward AI Standards: Graph Technology as a Fabric for Context

3 min read
Learn how to become a graphista in no time by binging our video series, Intro to Graph Databases

#GraphCast: Intro to Graph Databases

1 min read
Watch this webinar on how Neo4j's graph platform improves the representation of network automation

Graph-Based, Real-Time Inventory & Topology for Network Automation [Video]

1 min read
Dive into the core of Hume and see how we leverage graph analysis and AI capabilities.

Liberating Knowledge: Machine Learning Techniques with Neo4j

14 min read
Learn more about how graphs provide context for responsible AI.

Toward AI Standards: Graph Technology for Responsible AI

4 min read
Check out this interview with Pascal Desmarets, CEO of Hackolade.

NoSQL Data Modeling: 5-Minute Interview with Pascal Desmarets

3 min read
Watch this webinar on using graph database technology in the manufacturing and automotive industries

Graphs in Automotive & Manufacturing: Unlock New Value from Your Data [Video]

1 min read
Learn from Fan Li's presentation on how to solve global challenges for DuPont using graph databases.

Collaborative Technology Intelligence Platform

11 min read
Learn why Emil Eifrem believes context is essential for AI standards – both ethical and technical

Toward AI Standards: Why Context Is Critical for Artificial Intelligence

4 min read
Glad midsommar from Neo4j!

#GraphCast: Glad Midsommar!

1 min read
Check out this webinar on graph algorithms’ impact on the landscape of intelligent applications.

Improving Machine Learning Predictions Using Graph Algorithms [Video]

1 min read