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

Neo4j community is migrating from Slack to Discord

4 min read
Neo4j has been selected as the winner of the “Graph DBS Solution of the Year” award by Data Breakthrough!

Neo4j honored with 2021 Data Breakthrough Award for graph DBS solution of the year

3 min read

Celebrating Women’s History Month by investing in knowledge

4 min read

Top 10 use cases: Bill of Materials

5 min read
Catch this week's GraphCast: A Renaissance of Knowledge Graphs

GraphCast: A renaissance of knowledge graphs

1 min read

Building a GraphQL-based CMS with the GRANDstack

8 min read

The Spark of Neo4j

7 min read

Dual indexing Neo4j and Solr for a unified platform

12 min read

Top 10 use cases: Identity and Access Management

4 min read

Graph in the auto industry: The 5-minute interview with Elena Kohlwey

5 min read

Neo4j Browser embraces the Monaco Editor

3 min read

Top 10 use cases: Data lineage

4 min read