Mastering Retrieval-Augmented Generation with the Neo4j-Graphrag Package

Wednesday, March 26
9 AM GMT/10 AM CET
2.5 hours

Take your AI applications to the next level by mastering GraphRAG in this exclusive Neo4j virtual workshop. Discover how to use the neo4j-graphrag open-source package to build and optimize Retrieval-Augmented Generation (RAG) systems seamlessly integrated with generative AI models.

What You’ll Learn:

  • Master neo4j-graphrag: Deep dive into setup and advanced capabilities.
  • Build GraphRAG Systems: Create simple to complex RAG applications powered by Neo4j and generative AI.
  • Execute Smart Retrieval Strategies: Explore practical use cases and apply best practices for enhanced AI solutions.
  • Hands-On Practice: Work directly with the package's developers for practical insights and skills.

Whether you're a developer, AI enthusiast, or graph database advocate, this session equips you with essential tools to supercharge your graph-powered applications.

Requirements:
Please join the session from a computer (or laptop) so you can take part in the practical exercises. If your laptop has a firewall you can't control, you may want to bring your personal laptop.

Space is limited so register today to secure your seat!


Speakers

Alex Thomas Image

Alex Thomas

Senior Software Engineer, Neo4j
Will Tai Image

Will Tai

Senior Software Engineer, Neo4j

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