🚀 Join us for an insightful session on the fundamentals of working with graph databases, where we'll explore modeling people's relationships and how Large Language Models (LLMs) can assist in this process. This session is perfect for anyone interested in the intersection of social networks, AI, and graph data visualizations.

🎯 Agenda:

• Introduction: Understand the basics of graph databases and their applications.
• Modeling Relationships: Learn how to model people's relationships using graph databases.
• Cypher Query Language: Get hands-on with Cypher, the query language for Neo4j.
• LLMs and Graph Databases: Discover how LLMs can enhance graph data extraction, automation, and information retrieval.
• Python Tooling: Explore Python tools such as FastAPI, FastHTML, Server Sent Events (SSE), HTMX, D3, and more for building AI-powered web applications with Neo4j.
• DevOps Topics: Dive into DevOps topics with Docker, and AWS for cloud computing.

📍 Who Should Attend?

• Beginners and professionals interested in graph databases and AI.
• Tech enthusiasts looking to expand their knowledge in Python tooling and graph data visualizations.

👋 We look forward to seeing you there and exploring the exciting world of graph databases and AI together!