Kickstart GenAI Development with Neo4j's GraphRAG Ecosystem

30 Minutes

What if you don’t ground your GenAI application with contextually rich, relevant data? It can go far afield. It can give incorrect or made-up information – and it won’t be able to answer specific questions about your use case.

Avoid GenAI hallucinations and low-quality responses. Use a knowledge graph to ground your GenAI application, then add GraphRAG to make it even simpler to use.

Join us for a 30-minute overview to learn about:

  • Quickly starting a knowledge graph from unstructured data 
  • Free ecosystem tools for talking to your knowledge graph and performing GraphRAG
  • Open source libraries and frameworks to integrate GraphRAG into your GenAI applications 


Zachary Blumenfeld Image

Zachary Blumenfeld
Product Specialist

Zach is a graph enthusiast who helps data scientists, engineers, and business leaders understand and implement graph analytics to solve challenging business problems. He has led the development and deployment of full-stack graph systems designed to facilitate broad search and analytical query requirements.
Michael Hunger Image

Michael Hunger
Head of Product Innovation & Developer Strategy

Michael Hunger has been passionate about software development for more than 30 years. For the last 12 years, he has been working on the open source Neo4j graph database filling many roles, most recently leading the Developer Relations Neo4j team.Michael enjoys many aspects of programming languages, learning new things every day, participating in exciting and ambitious open source projects, and contributing and writing software-related books and articles. Michael has spoken at numerous conferences and helped organize several of them. His efforts got him accepted to the JavaChampions program.

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