Building Intelligent AI with Neo4j & RAG
Join us for a hands-on Discord workshop designed for developers ready to move beyond GenAI demos and start building grounded, explainable AI systems.
Wednesday, April 16
9–11AM PT | 12–2PM ET | 6–8PM CET
Hosted on Discord
RSVP Required → Join the Workshop
Pre-Workshop Checklist
To get the most out of the session, make sure you have:
- Basic knowledge of Python + LLM concepts
- Python 3.10+ installed
- Access to a Neo4j sandbox or local instance
- Joined the Neo4j Discord community
What You’ll Build
Using Python and the neo4j-graphrag library, you'll learn how to create Retrieval-Augmented Generation (RAG) pipelines that:
- Use vector search, hybrid search, and graph-native patterns
- Reduce LLM hallucinations
- Improve answer relevance with structured graph context
- Add agentic behavior, where LLMs reason over connected data
By the end of the session, you’ll understand how to combine LLMs + knowledge graphs into intelligent, explainable systems — ready for real-world use.
**RSVP Now →Neo4j Discord