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I did a lot of experiments to decide the best way to go about it. I’ve tried most of the open-source named entity recognition models to compare which worked best, but in the end, I decided that none were good enough. Luckily for us, the Harry Potter fandom page contains a list of characters in the first book. We also know in which chapter they first appeared, which will help us even further disamb
ISO GQL: A Defining Moment in the History of Database Innovation Learn More
Neo4j Backs Launch of GQL Project: First New ISO Database Language Since SQL SAN MATEO, Calif. – September 17, 2019 – Neo4j, the leader in graph databases, announced today that the international committees that develop the SQL standard have voted to initiate GQL (Graph Query Language) as a new database query language. Now to be codified as the international standard declarative query language for
The Neo4j GraphQL Library is a highly flexible, low-code, open source JavaScript library that enables rapid API development for cross-platform and mobile applications by tapping into the power of connected data. With Neo4j as the graph database, the GraphQL Library makes it simple for applications to have application data treated as a graph natively from the front-end all the way to storage, avoid
Neo4j Connections: Generative AI and Knowledge Graphs. Register Today North America & Europe | Asia Pacific
Editor’s Note: This presentation was given by Jesús Barrasa at GraphConnect San Francisco in October 2016. Presentation Summary Resource Description Framework (RDF) triple stores and labeled property graphs both provide ways to explore and graphically depict connected data. But the two are very different – and each have different strengths in different use cases. In this presentation, Dr. Jesús Ba
Recently we announced the availability of some super efficient graph algorithms for Neo4j. In case you missed the announcement, we now have an easy-to-use library of graph algorithms that are tuned to make full use of compute resources. As part of assisting with this ongoing project, I needed to come up to speed as well as compile a list of graph algorithm and graph theory resources. Although this
[USE] [MATCH [WHERE]] [OPTIONAL MATCH [WHERE]] [WITH [ORDER BY] [SKIP] [LIMIT] [WHERE]] RETURN [ORDER BY] [SKIP] [LIMIT]
As the world has seen, the International Consortium of Investigative Journalists (ICIJ) has exposed highly connected networks of offshore tax structures used by the world’s richest elites. These structures were uncovered from leaked financial documents and were analyzed by the journalists. They extracted the metadata of documents using Apache Solr and Tika, then connected all the information toget
Back in the day (when Prussia was still a thing), Königsberg must have been a really boring place. That’s because the definition of fun in Königsberg was to walk around the city’s seven bridges and find a path that only crossed each bridge once. (This was before Netflix.) This isn’t that complex of a problem, but the people in Königsberg also weren’t that good at math. So they asked their math “fr
I want to demonstrate how you can take the Stack Overflow dump and quickly import it into Neo4j. After that, you’re ready to start querying the graph for more insights and then possibly build an application on top of that Stack Overflow dataset. If you want to follow along, we have a running (readonly) Neo4j server with the data available here. But first things first: Congratulations to Stack Over
For six-ish months of my life, I was a database developer. Starting out, the first thing I learned was data modeling. Our team was using a relational database (RDBMS), specifically MySQL (we later switched to Postgres). Like a lot of backend developers at the time, we didn’t intentionally choose to use an RDBMS, it was just the default (that’s no longer the case). Of course, that meant my lessons
This page is no longer being maintained and its content may be out of date. For the latest guidance, please visit the Getting Started Manual . Cypher is Neo4j’s graph query language that lets you retrieve data from the graph. It is like SQL for graphs, and was inspired by SQL so it lets you focus on what data you want out of the graph (not how to go get it). It is the easiest graph language to lea
Use case and industry specific graph examples designed to inspire you towards your Graph epiphany.
Cypher is Neo4j’s declarative query language, allowing users to unlock the full potential of property graph databases. The Cypher Manual aims to be as instructive as possible to readers from a variety of backgrounds and professions, such as developers, administrators, and academic researchers. If you are new to Cypher and Neo4j, you can visit the Getting Started Guide → Introduction to Cypher chap
Summary Graph Databases, published by O’Reilly Media, discusses the problems that are well aligned with graph databases, with examples drawn from practical, real-world use cases. This book also looks at the ecosystem of complementary technologies, highlighting what differentiates graph databases from other database technologies, both relational and NoSQL.
We’re very pleased to announce that Neo4j 1.7 GA, codenamed “Bastuträsk Bänk” is now generally available. The many improvements ushered in through milestones have been properly QA’d and documented, making 1.7 the preferred stable version for all production deployments. Let’s review the highlights. Welcome to the Enterprise Turbo package For enterprise deployments contending with high-volume reques
Table of Contents PrefaceIntroduction1. Neo4j Highlights2. Graph Database ConceptsTutorials3. Introduction to Cypher4. Use Cypher in an application5. Basic Data Modeling Examples6. Advanced Data Modeling Examples7. LanguagesCypher Query Language8. Introduction9. Syntax10. General Clauses11. Reading Clauses12. Writing Clauses13. Functions14. Schema15. Query Tuning16. Execution PlansReference17. Cap
We’re excited to announce a multi-year, strategic collaboration agreement (SCA) between Neo4j and Amazon Web Services (AWS) that will speed up enterprise AI development while resolving key AI challenges, including reducing LLM hallucinations. Neo4j is the only graph database with vector... read more
In case you didn’t notice already, graph databases like Neo4j are hot nowadays. People ask questions, write about them, also in the contexts of NOSQL and RDF. Recently Twitter open sourced their graphdb implementation, targeted at shallow, distributed graphs. And then Facebook revealed their new Graph API using the Open Graph Protocol. Today, we’re going to show you how easy it is to use the Faceb
GenAI apps, grounded in your data Power your applications with knowledge graphs. Backed by the only graph database with vector search.
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