Check out our on-demand library of content to learn more about graph technology, get a deeper understanding of use cases, and more - all at your convenience!
Join us for a 45-minute walkthrough on using ontologies to build a knowledge graph from unstructured data using LLMs. It includes a demo walkthrough as well as a rundown of best practices and common pitfalls.
Join us for a 30-minute primer on the different types of graph algorithms. Learn how to model your data to extract deep insights to improve decision-making and build efficient apps. Find out how to solve complex problems like finding fraud...
Join us for a 30-min tutorial on how to build an AI agent that can reliably plan, reason, and execute tasks with Model Context Protocol (MCP).
Get all the details about the recently launched Neo4j Graph Analytics on Snowflake this July 10. In 30 minutes, learn how to uncover insights and meaningful data relationships that traditional queries miss.
Join us on June 26 for a 30-minute rundown on how to make your data AI ready using GraphRAG. Learn how to get more GenAI apps and AI agents up and running.
Join us on June 10 for a 30-minute rundown on how to implement the Model Context Protocol (MCP). Get tips on implementation and building context-aware AI agents.
Join us on May 22 for a 30-minute overview of how graph analytics work and its use cases. Watch a demo to see how to surface deep analytic insights with Neo4j Aura Graph Analytics.
Join us on May 8 to hear how Cummins, Inc. used a graph database to enable an AI-ready data stack. In 30 minutes, learn how to follow their example to improve metadata management, knowledge graph capabilities, and decision-making. Find out...
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.
