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
Financial Fraud Detection with Graph Data Science: Analytics and Feature Engineering
Apr 20, 2020 6 mins read
Financial fraud is growing and it is a costly problem, estimated at 6% of the Global Domestic Product, more than $5 trillion in 2019. Despite using increasingly sophisticated fraud detection tools – often tapping into AI and machine learning – businesses lose more and more money to... read more
This Week in Neo4j – Spring Data Neo4j⚡RX released, Graphs4Good GraphHack COVID-19 Special, Multi Level Marketing with graphs
Apr 18, 2020 4 mins read
Hi graph gang, In this week’s video, Joe Depeau explains how graph algorithms are used in banking. Gerrit Meier launches Spring Data Neo4j⚡RX, Inzamam ul Haque optimises Cypher queries, and Max De Marzi builds a Multi-Level-Marketing program. And finally, Karin Wolok runs... read more
Check Out Some of This Year’s Graphs4Good GraphHack Projects
Apr 16, 2020 8 mins read
Hope everyone had a happy Global Graph Celebration Day! For the second year in a row, the Neo4j community collaborated to share graph thinking with the world on April 15th, the birthday of Swiss Mathematician and inventor of Graph Theory, Leonhard Euler. This year, however, has been a much... read more
Financial Fraud Detection with Graph Data Science: Augment Your Approach
Apr 13, 2020 3 mins read
Financial fraud is growing and it is a costly problem, fastest-growing types of fraud in the U.S. – synthetic identity theft. Fraudsters meld various false and authentic elements (such as addresses, phone numbers, emails, employers and more) into a synthetic identity, which they then use for... read more
This Week in Neo4j – Graph Data Science Library Announced, Neo4j Reactive Drivers, SCM analytics, São Paulo’s subway system
Apr 11, 2020 5 mins read
Hi graph gang, In this week’s video, Greg Woods teaches us all about the new reactive Neo4j drivers. Alicia Frame officially launches the Graph Data Science Library and Tomaz Bratanic shows us how to use it with the help of two datasets. Rik continues his journey in the... read more
#GraphCast: Unlimited Scalability with Neo4j 4.0
Apr 10, 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 Editorial Assistant, Zaw Win Htet, shared Amy Hodler's talk about the ethics and social values that should inform responsible AI. It's a great talk with... read more
