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Check out our on-demand library of content to learn more about graph technology, get a deeper understanding of use cases, and more.
Discover how data pioneers use graph technology and AI to uncover hidden relationships, increase intelligence, and solve the most pressing problems.
Attend one of these 30-minute introductory webinars to learn the basics of graph and how to start building powerful applications at speed.
GenAI and Large Language Models (LLMs) have the potential to increase productivity and provide access to data, but they need grounding and good context to be truly useful. In this hands-on workshop, you will: – Learn about Large Language Models...
Learn about Graph databases and get started with Neo4j. This session is designed to show you the basics of Neo4j by explaining the core concepts of graph databases, such as nodes, relationships, properties, and labels. You will learn how graph...
Join us to learn how graph databases are revolutionizing the data world and helping Java developers effortlessly extract and import connected data. Learn more about the Meetup! GraphRAG: Data with Context Speaker: Jennifer Reif, Developer Relations Engineer at Neo4j In...
Join us for an in-person tech meetup focused on real-world applications of graph technology and AI for an evening of fun, networking and food! Expect sharp talks, technical insights, and open discussion with peers who are building, scaling, and experimenting...
Defense and intelligence organizations face challenges in managing vast amounts of unstructured and semi-structured data, leading to manual, time-consuming research and fragmented insights. This webinar will explore how Unstructured and Neo4j capabilities for GraphRAG can help structure intelligence products, making...
Join us for a 45-minute overview of how to build enterprise-grade GenAI apps using GraphRAG. See how to combine knowledge graphs with RAG to ground LLMs to give GenAI results more context and accuracy.
Join us for a 45-minute overview of how to build enterprise-grade GenAI apps using GraphRAG. See how to combine knowledge graphs with RAG to ground LLMs to give GenAI results more context and accuracy.
