 Neo4j 5, ushering in a new era in graph technology that is transforming the way we use connected data. And with this latest update, Neo4j is more powerful than ever. You want enhanced performance? Neo4j is unmatched in the market. Neo4j was already 1,000 times faster than relational databases. And with version 5, Neo4j widens the performance lead with new features like K-Hop query optimization, graph pattern matching, and granular indexes. You want your data to scale? With 5, Neo4j has unbounded scalability. Autonomous clustering lets you scale out horizontally with less manual overhead and better use of computing resources. And when your data sets lie in multiple databases, Fabric instantly helps you create a composite graph of insights hidden in disparate silos. You want agility? Neo4j 5 has unparalleled operational agility. Neo4j fits your IT strategy, whether it's on-premise, cloud, hybrid, or multi-cloud. And with Neo4j Ops Manager and a continuous release support model, it's easier than ever to manage your database in the cloud. Neo4j 5 helps you achieve unbounded performance, scale, and agility. Find out more at neo4j.com. The New Year Is Coming ДИНАМИЧНАЯ МУЗЫКА For For over a decade, Neo4j has been helping the world make sense of data. Today, Neo4j, the leader in graph database and analytics technology, is unlocking new possibilities in generative AI. Together, Neo4j and large language models allow you to use a public, pre-trained LLM with your own data, subject to your privacy controls. Reduce hallucination through a powerful combination of deterministic facts and probabilistic conclusions. And enhance explainability and transparency through explicit knowledge representation for getting transparent reasoning and explainable AI. Neo4j's scalable and flexible technology seamlessly integrates with generative AI frameworks like Langchain, Vertex AI, OpenAI, and beyond, democratizing access to the world's information while setting a new standard for AI accuracy, transparency, and explainability. Unlock new possibilities in generative AI today at Neo4j.com. There are many types of databases today. The tried and tested relational database, the new and popular DocumentDB, and many others. And all of these have their strengths. But one place they all fall short is in handling complex connections between your data. Sure, any database may be able to return friend of a friend queries of 3 or 4 degrees, but what if you need 20 degrees and need it quickly? That's where Neo4j comes in. Unlike other databases, Neo4j Graph Database doesn't need to compute the relationships between your data at query time. The connections are already there, stored right in the database. Because of this, queries of deeply connected data are orders of magnitude faster. We get used to the limitations of the tools we work with. Neo4j blows those limits wide open, enabling queries never before imagined at speeds never thought possible. That's why Neo4j has become a key technology driving business-critical applications for hundreds of Fortune 500 companies, government agencies, and NGOs. Learn more at neo4j.com. Are you interested in graph data science but don't know where to begin? The Neo4j Sandbox is the best way to get started and learn graph data science basics with interesting preloaded datasets like fraud detection, contact tracing, and Twitter trolls. It's easy to jump right in. follow our guides and explore visualization with Bloom. There's no download required and you can get up and running in less than a minute. Try it for free today. Ketutak សូរបស់ពីបានប្រាប់ពីប្រាប់ពីប្រាប់ពីប្រាប់ពីប្រាប់ពីប្រាប់ពីប្រាប់ពីប្រាប់ពីប្រាប់ពីប្រាប់ពីប្រាប់ពីប្រាប់ពីប្រាប់ពីប្រាប់ពីប្រាប់ពីប្រាប់ពីប្រាប់ពីប្រាប់ពីប្រាប់ពីប្រាប់ពីប្រាប់ពីប្រាប់ពីប្រាប់ពីប្� Graph databases have been the fastest growing database category for the past decade. The reason for this is simple. Graph databases are highly optimized to understand and work with the complex relationships between your data. Unlike other kinds of databases, a native graph database doesn't need to search for data connections at query time. Those relationships are already there, stored right in the database. Because of this, queries of large, complex, connected data are orders of magnitude faster. A graph database doesn't necessarily need to replace your current database. By adding graph capabilities to your current infrastructure, you can keep the technology you already have but greatly improve it with the power to uncover rich data connections, reduce time to market, and run faster queries. Taking advantage of the connections that already exist in your data enables you to get ahead of the competition. Every business needs to leverage data relationships and leverage them faster and more efficiently. Graph databases deliver those capabilities. The speed and efficiency advantage. Graph databases deliver those capabilities. The speed and efficiency advantage of graph databases has driven new, real-time applications in fraud detection, customer 360, machine learning, and knowledge graphs, just to name a few. Because of this, graph databases have become a key technology creating competitive advantage for hundreds of Fortune 500 companies, government agencies agencies and NGOs we asked 100 senior tech executives CIOs CTOs and chief data officers what they need to bridge data silos, boost AIML projects, and open up new revenue streams. A massive 88% of them said the same thing, knowledge graphs. But why? Leaders know the value of data, keenly aware that it holds the answers to their most pressing business questions. They need insights to improve decision-making and enhance business performance. Enter Knowledge Graphs. A Knowledge Graph is a map of everything an organization knows about a given topic. Knowledge Graphs help business leaders by functioning as a non-disruptive insight layer on top of their existing data landscape. Knowledge Graphs drive intelligence into data to significantly enhance its value, without changing any of the existing data infrastructure. Knowledge Graphs enhance existing technologies by providing better data management, better predictions, and better innovation. Last but not least, Knowledge Graphs lend themselves to multiple use cases like fraud detection, digital twin, patient journey, bill of materials management, recommendations, and IT operations across many industries, including financial services, healthcare, life sciences, manufacturing, supply chain, and retail. The C-suite is waking up to the possibility of knowledge graphs. Shouldn't you? hello good morning good evening good afternoon and thank you for joining this Neo4j Live today. Well, actually it's not a Neo4j Live, sorry. It's Road to Notes. So we are starting with Road to Notes today. This is the first day of our series heading up towards Notes in 7th of November. So I'm very much looking forward to these workshop sessions that are taking place basically from tomorrow. We will do from today, we'll do a fundamentals course this week, another fundamentals one next week and further training sessions over the next coming weeks until November. So it's great to have you here. It's great to do this workshop today with you all. Before we dive in, I'd like to share a few things with you. So as you see, if you joined in BigMarker today,
Road to NODES: Neo4j Fundamentals
Not familiar with Neo4j? This workshop provides an introduction to show you the basics of Neo4j by explaining the core concepts of graph databases, such as nodes, relationships, properties, and labels.

Neo4j Fundamentals: https://graphacademy.neo4j.com/courses/neo4j-fundamentals/
Movie Data https://dev.neo4j.com/ga-movie-data
Aura Console https://dev.neo4j.com/ga-aura
Graph Databases Book: https://neo4j.com/books/graph-databases/
Sizing Calculator: https://neo4j.com/hardware-sizing/

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