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
Top 10 Use Cases: Empowering Network and IT Operations Management
Feb 22, 2021 2 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 – Structured data embedded in web pages, Speaker Listener LPA, Neo4j at NASA
Feb 20, 2021 3 mins read
Hi everyone, Our video this week is an interview with NASA’s David Meza from Ashleigh Faith’s IsADataThing YouTube channel. Jesús Barrasa analyses the structured data of the White House website, Clair Sullivan imports data from Python, and I show how to use Speaker Listener... read more
Graphs for Artificial Intelligence and Machine Learning
Feb 18, 2021 9 mins read
Editor’s Note: This presentation was given by Dr. Jim Webber at GraphTour Boston in 2019. Full Presentation If there’s any area of computer science that’s prone to nonsense today, it’s artificial intelligence. I'm going to walk you through some no-nonsense definitions of AI-cronyms,... read more
Top 10 Use Cases: Supply Chain Management
Feb 15, 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 – English WordNet Graph, Supervised Machine Learning, Using Neo4j with GraalVM
Feb 13, 2021 3 mins read
Hi everyone, The big graph news of this week is the release of version 1.5 of the Graph Data Science Library. Alicia Frame and Amy Hodler give us the lowdown, including the first supervised machine learning algorithms in the library. In our video this week, Florent Biville shows us... read more
Dimensions in the Data: 5-Minute Interview with Benjamin Squire
Feb 12, 2021 < 1 min read
"The most surprising result was really seeing how connected the data was. I used to think that we knew this data really well when we looked at it individually from each different data stream, but when you combine them all together and you actually look at the datasets as a whole, it makes you... read more
