
AI-Assisted Graph Data Modeling with MCP
Join us for a 30-minute rundown on how to use the open-source MCP for Neo4j to improve AI reasoning, so it can assist in graph data modeling.
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 30-minute rundown on how to use the open-source MCP for Neo4j to improve AI reasoning, so it can assist in graph data modeling.

Get a 30-minute overview of Aura Agent. Learn how to easily and quickly build AI agents grounded in enterprise data due to a knowledge graph.

Join us for a 30-minute primer on how to unify your customer data into a 360-view with a knowledge graph. Learn how to get real-time insights to personalize and optimize customer experiences.

Join us to learn how to improve Agentic AI’s reasoning and decision-making abilities using a graph database.

Join the authors of Essential GraphRAG for a 30-min discussion on how to combine structured and unstructured data with a knowledge graph to build accurate GenAI. Learn how to improve RAG performance and traceability.

Join us for a 30-minute overview of how to build an adaptive, resilient supply chain using a knowledge graph and Agentic AI.

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).