Featured Post
GenAI Graph Gathering 2.0: The Evolution of GraphRAG
Nov 18 5 mins read
Scaling laws may plateau, yet the promise of GenAI is undiminished. Engineers everywhere have been busy figuring out what works and how to make it useful. GraphRAG, a combination of knowledge graphs and retrieval-augmented generation (RAG), has evolved into a range of techniques, with a growing... read more
Dual Indexing Neo4j and Solr for a Unified Platform
Mar 18, 2021 11 mins read
Editor’s Note: This presentation was given by Nathan Maynes at GraphTour New York in October 2019. At the time, Maynes was a Senior Data Engineer at Thomson Reuters. In this post, we'll delve into some use cases we have at Thomson Reuters, which is a group that works with state, federal, and... read more
Top 10 Use Cases: Identity and Access Management
Mar 15, 2021 4 mins read
Graph technology is the future. Not only do graph databases effectively store relationships between data points, but they’re also flexible in adding new kinds of relationships or adapting a data model to new business requirements. But how do companies today use graph databases to solve tough... read more
This Week in Neo4j – Hidden Markov Model, SQL Server to Neo4j, Fraud Detection with Graphs
Mar 13, 2021 3 mins read
Hi everyone, In this week’s video, Rik Van Bruggen and Marius Hartmann explain how to do fraud detection with graphs. Zuye Zheng analyses r/WallStreetBets, Hadi Fadlallah migrates data from SQL Server to Neo4j, and Greg King explains some of the features of the Monaco editor... read more
Graph in the Auto Industry: The 5-Minute Interview with Elena Kohlwey
Mar 12, 2021 < 1 min read
"Neo4j was really helpful with our problem. What used to take weeks and weeks and a group of highly experienced engineers now only takes minutes and some clicks," said Elena Kohlwey, Digital Engineering Specialist with RLE. Today’s 5-minute interview is with Graphie Award winner Elena Kohlwey,... read more
Top 10 Use Cases: Data Lineage
Mar 08, 2021 < 1 min read
Graph technology is the future. Not only do graph databases effectively store relationships between data points, but they’re also flexible in adding new kinds of relationships or adapting a data model to new business requirements. But how do companies today use graph databases to solve tough... read more
This Week in Neo4j – Semantic similarity metrics, Virtuoso SPARQL integration, Deep Graph Library
Mar 06, 2021 3 mins read
Hi everyone, In this week’s video, Florent Biville builds out an Angular.js frontend for the Spring Data 6 application. Jesús Barrasa computes similarity metrics of a taxonomy, Daniel Heward-Mills integrates Virtuoso and Neo4j, and Lju Lazarevic shows how to import and model a... read more