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

The Neo4j Startup Program: Tomorrow’s AI Unicorns Build on Neo4j

3 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

Safeguarding Elections: How Graph Technology Powers Groundbreaking Research on Political Ads

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Using LlamaParse to Create Knowledge Graphs from Documents

7 min read

Topic Extraction with Neo4j GDS for Better Semantic Search in RAG Applications

17 min read
Creating the GQL Database Language Standard.

Creating the GQL Database Language Standard

6 min read

Graph-based Metadata Filtering to Improve Vector Search in RAG Applications

12 min read

Adding Retrieval-Augmented Generation (RAG) to Your GraphQL API

8 min read
GQL is here: Your Cypher queries in a GQL world.

GQL is Here: Your Cypher Queries in a GQL World

5 min read
GQL: The ISO Standard for Graphs Has Arrived!

GQL: The ISO Standard for Graphs Has Arrived

6 min read
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