Neo4j Blog

Neo4j Invests $100 Million in GenAI and Launches Key Agentic AI Innovations

Neo4j announces a $100 million investment in GenAI to fuel product innovation and help customers scale reliable intelligent systems.

6 min read
Illustration of AI at the center of the bullseye
Illustration showing how vector similarity, Cypher templates, and text-to-Cypher meet to create the Aura Agent

Neo4j Aura Agent: Create Your Own GraphRAG Agent in Minutes

14 min read

Neo4j Launches Breakthrough Architecture to Unify Transactional and Operational Workloads

4 min read

Use Sentiment Analysis to Understand Risk Appetite

20 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

Building RAG Applications With the Neo4j GenAI Stack: A Comprehensive Guide

Building RAG Applications With the Neo4j GenAI Stack: A Comprehensive Guide

9 min read
Node embeddings in a knowledge graph.

The Future of Knowledge Graph: Will Structured and Semantic Search Become One?

13 min read
What is retrieval-augmented generation RAG)?

What Is Retrieval-Augmented Generation (RAG)?

5 min read
Entity resolved knowledge graphs: A tutorial

Entity Resolved Knowledge Graphs: A Tutorial

20 min read
GQL, the future of graph databases is here.

ISO GQL: A Defining Moment in the History of Database Innovation

5 min read
LangChain Library now supports Neo4j vector index.

LangChain Library Adds Full Support for Neo4j Vector Index

4 min read

Maximizing Your Neo4j Project’s Potential: An In-depth Guide to Solution Assessment

3 min read

Graph Data Models for RAG Applications

5 min read

Neo4j Brings GraphRAG Capabilities for GenAI to Google Cloud

6 min read

Neo4j Is Now SOC2 Type 2 Compliant

2 min read

Enhancing RAG with Neo4j Cypher and Vector Templates Using LangChain Agents

13 min read

Enhancing the Accuracy of RAG Applications With Knowledge Graphs

8 min read