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
#GraphCast: Migrating from Neo4j 3.5 to 4.0
Feb 21, 2020 < 1 min 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, shined light on our... read more
Ontologies in Neo4j: Semantics and Knowledge Graphs
Feb 19, 2020 12 mins read
Editor’s Note: This presentation was given by Jesús Barrasa at GraphConnect New York City in September 2018. Presentation Summary Jesús Barrasa is the director of Telecom Solutions with Neo4j. In today’s talk, he speaks from his background in semantic technologies. Barrasa starts... read more
This Week in Neo4j – Flight Search Application, Graph Data Science Library Preview, Neo4j 4.0 Treasure Map
Mark Needham Feb 15, 2020 4 mins read
Hi graph gang, In this week’s video Vlasta Kůs and Golven Leroy’s show us how to do social media monitoring using Neo4j and NLP techniques. We have the preview release of the Graph Data Science Library, a Neo4j 4.0 Treasure Map, and a flight search application And... read more
Neo4j 4.0 Security Rocks: The 5-Minute Interview with Michal Bachman, CEO, GraphAware
Feb 14, 2020 4 mins read
"I love the ability to apply security on nodes and relationships in a very flexible way. I’ve already shown it to some of our customers, and they love it as well," said Michal Bachman, CEO at GraphAware. As the founder of GraphAware, Michal Bachman has helped dozens of customers implement... read more
Part 1: Using Neo4j in Business Process Modeling Scenarios
Feb 13, 2020 7 mins read
When people think about Neo4j and problems it's good at solving, there's a pretty wide range of use cases that come to mind: recommendation engines, fraud ring detection, bills of materials, social network scenarios, multi-level marketing systems, asset management and analysis, role-based access... read more
Personalized Product Recommendations at Nordstrom
Feb 12, 2020 9 mins read
Editor’s Note: This presentation was given by Seth Dimick at GraphConnect New York in September 2018. At the time Dimick gave this talk, he was a data scientist at Nordstrom. Presentation Summary Using a property graph model to surface relevant content to users is now common practice for many... read more
