Featured Post
GraphRAG Python Package: Accelerating GenAI With Knowledge Graphs
Oct 16 11 mins read
The GraphRAG Python package from Neo4j provides end-to-end workflows that take you from unstructured data to knowledge graph creation, knowledge graph retrieval, and full GraphRAG pipelines in one place. Whether you're using Python to build knowledge assistants, search APIs, chatbots, or report... read more
Rethink Your Master Data: Modern Master Data Management
Jun 22, 2020 < 1 min read
Data is both our most valuable asset and our biggest ongoing challenge. As data grows in volume, variety and complexity, across applications, clouds and siloed systems, traditional ways of working with data no longer work. Increasingly, businesses are recognizing a need to harness all of their... read more
This Week in Neo4j – Building a low-code platform, Beer Recommendations, Building A GRANDstack Real Estate Search App
Jun 20, 2020 4 mins read
Hi graph gang, In this week’s video, Will Lyon starts a series showing how to build a GRANDstack Real Estate Search App. Tomaz Bratanic explores the Node2vec embedding algorithm, Dan Flavin solves a triangle counting brain teaser, and Stefan Dreverman starts a blog series on... read more
#GraphCast: Graphs Connecting COVID-19 Research
Jun 19, 2020 2 mins read
Welcome to this week's #GraphCast – our series featuring what you might have missed in Neo4j media from the past fortnight. Last time, our Staff Writer, Zaw Win Htet, highlighted the Graphs4Good GraphHack that worked on graph-powered solutions to the COVID-19 epidemic.. This week,... read more
Your World Seen Through Your Eyes with Neo4j Bloom
Jun 17, 2020 25 mins read
Editor’s Note: This presentation was given by Andreas Kolleger at GraphConnect New York in September 2018. Presentation Summary Andreas Kollegger, the product manager for Neo4j Bloom delves into the meat of what makes graph visualization so interesting. The multifaceted answer includes... read more
Graph-Powered Recommendations: Developing and Deploying Recommendations
Jun 15, 2020 < 1 min read
Recommendation engines have become a crucial component of modern applications of all types. This core need has triggered a shift from relational and big-data approaches to graph-based technologies that are purpose-built to handle the rigorous demands of real-time recommendations. This week, in... read more
This Week in Neo4j – Lord of the Wiki Ring, Editing Data in Neo4j, Modeling Diffusion of Innovations
Jun 13, 2020 4 mins read
Hi graph gang, In this week’s video, Karin Wolok gives us a 10 minute introduction to graph databases. Tomaz Bratanic explores Lord of the Ring data, Chris Prenninger launches Neo4j Commander, and Nigel Small announces the new Go Driver. And finally, Nathan Smith... read more
