Unifying LLMs & Knowledge Graphs for GenAI: Use Cases & Best Practices

Learn how knowledge graphs and LLMs can be used together for retrieval-augmented generation (RAG), with use cases and examples.

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How to Improve Supply Chain Forecasting With Predictive Analytics

Transform your supply chain forecasting: Harness the power of graph technology and predictive analytics to navigate bottlenecks and maximize ROI.

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What Is a Knowledge Graph?

What is a knowledge graph? Why is it essential for smart data? How do the semantics and ontologies give your knowledge graph crucial context?

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Native vs. Non-Native Graph Database

Discover the critical differences between native vs. non-native graph databases and why the distinctions matter for database performance.

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How Apna Built a Better Job Search Experience With Graph Database

Discover how Apna uses Neo4j Graph Database to offer a more personalized and efficient job search experience for India’s emerging workforce.

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Announcing Neo4j Graph Data Science 2.3

We’re excited to announce Neo4j Graph Data Science 2.3, which includes new algorithms, new graph embedding, and performance improvements.

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How to Graph an ERP System in 3 Easy Steps

Learn how to build a graph-powered enterprise resource planning system in 3 easy steps, from exporting SAP data to importing it into Neo4j.

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Enabling Low/No Code Engineering Experience and Operationalizing Information Models

Discover how Yokagawa drives digital transformation by building a knowledge graph that enables low-code engineering experience.

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Graph Databases for Beginners: Why Graph Technology Is the Future

The world of graph technology has changed (and is still changing), so we’re rebooting our “Graph Databases for Beginners” series to reflect what’s new in the world of graph tech – while also helping newcomers catch up to speed with… Read more →

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The Visual Simplicity of Graph: The 5-Minute Interview With Folks From Fractal 5

“Everything is a graph. So as far as Neo’s development and the advances it’s made in the speed and adoption of more data – and more mature data – everyone can leverage all the developments in regards to graph neural networks and such. And that lends itself to a better world altogether,” Bjartur Hjaltason, machine learning engineer at Fractal 5.

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Standard Chartered: Threat Intelligence Using Knowledge Graphs

Learn how Standard Chartered protects their customers’ money, assets, and data from threats using knowledge graphs.

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How DBS Connect Knowledge with a Knowledge Quotient Framework

Discover how DBS brought their siloed customer data together using knowledge graphs to achieve customer 360.

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Better Together With AWS: The 5-Minute Interview With Roya Niki Hugosson

“We went together with Neo4j and told this Better Together story… Speed and cost, they are important, and that’s what customers can get with Neo4j’s graph,” Roya Niki Hugosson, Strategic Account Manager, ISV, Amazon Web Services.

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Better AI With Neo4j and Azure Machine Learning

Learn how to integrate Neo4j’s Graph Feature Engineering capabilities with Azure Machine Learning for better AI.

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Telstra’s Neo4j Graphie Award for Excellence in Data Discovery: Why Neo4j?

For the fourth presentation in our GraphSummit series, we’re featuring Harry Corfield, Senior Data Architect, Chief Data & AI Office at Telstra. He spoke about their Graphie Award and shared his experience using Neo4j Graph Database to develop a data knowledge map.

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London’s Traffic Operations Digital Twin: The 5-Minute Interview With Andy Emmonds

Andy Emmonds explains how Transport for London uses graph databases and digital twin to build a smart decision-supporting system.

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NODES: A 24-Hour Virtual Conference for the Global Community

Don’t miss NODES, Neo4j online graph conference on Nov 16 and 17. Learn the latest graph best practices for developers and data scientists. Join over 100 speakers at NODES presenting technical content at all levels of expertise. Register for free!

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DXC Career Navigator: Data Driven Employee Career Development and Engagement

Discover how the DXC Career Navigator uses knowledge graphs to connect siloed employee data and generates intelligent career recommendations.

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Design Thinking for Graph Data: The Secret to Successful Graph-Powered Apps

Design thinking is the secret to successful graph-powered apps. My organization, Predictive UX, designs graph-based applications. We come at it from a human-first user experience perspective and work primarily with enterprise organizations on complex content and data projects. I want to share some insights with you today about how design thinking impacts data products.

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Graphs for Information Services: The 5-Minute Interview With Cyndi Streun

Graphs are not just something for the researchers, for the universities. There’s a product out there, it’s applicable, it’s in production, it can scale if scale is necessary. It can give you the features you need, take your data, and explore it.

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Using Graph Technology for Environmental Data Compliance and Implementation

Every person, company, and government is going to be affected by climate change, which is why we are already seeing increasingly demanding regulations from environmental agencies and can expect to see more at the state, national, and international levels.

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How Graphs Power OpenSanctions: The 5-Minute Interview with Friedrich Lindenberg

OpenSanctions is the brainchild of Friedrich Lindenberg. It uses graph technology to analyze different datasets to identify significant individuals around the globe – like politicians, their associates, and other persons of interest – giving investigators, businesses, journalists, and technologists an essential open source tool to optimize their work.

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Data Lineage: Using Knowledge Graphs for Deeper Insights into Your Data Pipelines

This blog will focus on implementing data lineage specifically for governance and regulatory compliance. First, I will define data lineage and share some data lineage use cases, and then I’ll give a quick overview of MANTA.

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Graph That Saves Lives: Connecting Research Papers to Clinical Trials to Saving Human Lives

See how Usha Renal Care Foundation uses neophrology and blockchain data to create knowledge repository that helps medical experts save lives.

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Developers.Zed: The LinkedIn for Developers in Zambia

We had the pleasure of speaking with Kacha Mukabe, who is a grand winner of the 2021 Leonhard Euler Idea Contest for his innovative project using Neo4j graphs at Developers.Zed.

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