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

Neo4j DevTools update: Workspace, MultiDB, editors

7 min read

Needle v2 is here: Rebranding in the fast lane

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Enhanced QA integrating unstructured knowledge graph using Neo4j and LangChain

7 min read

GraphQL development best practices

21 min read

Introducing a New GenAI Stack for Developers

4 min read

Supply chain intelligence: Future-proof your supply network

5 min read

20 episodes of Going Meta – a recap on semantics, ontologies, and knowledge graphs

5 min read

Tic Tac Toe challenge in Cypher

26 min read

Did you take the Neo4j 5 Cypher bullet train?

7 min read

Neo4j is now AWS PrivateLink service ready

3 min read

Exploring the intersection of Neo4j and large language models

3 min read

Getting from Denmark Hill to Gatwick Airport with Quantified Path Patterns

16 min read