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

GraphRAG in action: From commercial contracts to a dynamic Q&A agent

35 min read

Moving to the Neo4j Query API

6 min read
NODES 2024 top-rated talks

The 10 top-rated talks at NODES 2024

2 min read
What is a database management system?

What is a database management system?

9 min read
GenAI Graph Gathering 2.0: The Evolution of GraphRAG

GenAI graph gathering 2.0: The evolution of GraphRAG

5 min read

Introducing the fine-tuned Neo4j Text2Cypher (2024) model

4 min read

Enable Cypher language server for Neovim

5 min read
GenAI stack walkthrough: Behind the scenes with Neo4j, LangChain, and Ollama in Docker

GenAI stack walkthrough: Behind the scenes with Neo4j, LangChain, and Ollama in Docker

16 min read

Benchmarking using the Neo4j Text2Cypher (2024) dataset

3 min read

New GraphAcademy course: Building Neo4j applications with Spring Data

1 min read

Introducing the Neo4j Text2Cypher (2024) dataset

4 min read

Effortless RAG with Text2CypherRetriever

6 min read