Neo4j Live: Building Model Native Apps With Hypermode & Neo4j
Chapters 9
- Play from Introduction & Welcome to Neo4j Live
- Play from Understanding AI, Knowledge Graphs & Agentic Workflows
- Play from Introduction to Modus: A Model-Native API Framework
- Play from Hands-On: Getting Started with Modus & GraphQL API
- Play from Building AI-Powered Apps with Function Calling & LLMs
- Play from Knowledge GraphRAG: Enhancing AI with Neo4j
- Play from Live Demo: Movie Recommendations with Neo4j & Vector Search
- Play from Q&A: Use Cases, Next Steps & Community Engagement
- Play from WrapUp
It's clear that the future of application development will involve AI models and that frameworks must adapt to expose the right abstractions for working with AI. In this episode of Neo4 Live we explore the open source Modus API framework and the building blocks of model-native app development: chaining data and LLMs together, LLM tool use, and knowledge graph RAG. We'll see how to get started with Modus and Neo4j and add a GraphRAG feature to a Modus + Neo4j model-native app.
Guest: Will Lyon
Resources mentioned
- Modus on GitHub (opens in a new tab)
- Hypermode (opens in a new tab)
- Neo4j + Modus blog (opens in a new tab)
- Neo4j + Modus docs (opens in a new tab)
- Slides (opens in a new tab)
- Code (opens in a new tab)
- Full Stack GraphQL Applications (opens in a new tab)
- Building Knowledge Graphs with LLMs (opens in a new tab)
- GraphRAG (opens in a new tab)
GenAI & GraphRAG


