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
The Fabric of DevOps: Using Neo4j to Manage Site Infrastructure
Feb 13, 2019 16 mins read
Editor’s Note: This presentation was given by Ashley Sun at GraphConnect NYC in October 2017. Presentation Summary LendingClub runs 400+ microservices that comprise its online marketplace lending platform, the largest in America. Every one of these services has been developed, tested and... read more
Graph Algorithms in Neo4j: Closeness Centrality
Feb 11, 2019 5 mins read
Graph algorithms provide the means to understand, model and predict complicated dynamics such as the flow of resources or information, the pathways through which contagions or network failures spread, and the influences on and resiliency of groups. This blog series is designed to help you... read more
#GraphCast: Fake News Edition
Feb 10, 2019 2 mins read
Welcome to this week's #GraphCast – our new series featuring what you might have missed on the Neo4j YouTube channel. Last time, our Editor-in-Chief, Bryce Merkl Sasaki, pivoted away from video and onto the podcast medium to highlight a recent Exponential View interview with CEO and... read more
This Week in Neo4j – Speaker Identification meets graphs, Graph Technology Landscape, Why You Need Graph Technology on GKE, Revealing Malware relationships
Feb 09, 2019 5 mins read
Welcome to This Week in Neo4j, where this week we have a presentation explaining why you need graph technology on Google Kubernetes Engine, as well as a blog post explaining how to reveal malware relationships using Neo4j. We also have the next part in the BBC GoodFood series, the graph... read more
DeepWalk: 5-Minute Interview with Dr. Steven Skiena
Feb 08, 2019 4 mins read
"Graphs have become very powerful, they're fundamental, and they're only becoming more and more important," said Dr. Steven Skiena, Director of the AI Institute at Stony Brook University. Graphs are a fundamental part of computer science, and they are only getting larger. Analyzing graphs using... read more
Leveraging Data Science Tools for Fraud Investigation
Feb 06, 2019 15 mins read
Editor’s Note: This presentation was given by Paul Starrett at GraphConnect New York in October 2017. Presentation Summary This blog focuses on how to take advantage of certain actively used data-science tools synergistically, and how to use a graph database as one source of research and... read more