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NODES, the free virtual developer conference dedicated to graph-powered applications, knowledge graphs, and AI, returns for its sixth year on November 7, 2024.

Join thousands of developers and data scientists for this 24-hour conference to learn about the latest GenAI innovations and gain insights from community speakers who showcase their implementations, tools, and models.

Ben Lorica, a well-known podcaster, AI conference co-chair, and startup advisor, is this year's keynote speaker. On the panel about GenAI trends, Ashleigh Faith, Jeng Yang Chia, and Lauren Sharman will share their perspectives on investment, growth, and practice.

This year's agenda has four tracks:

#### Applications: Libraries, Frameworks, and Platforms

Discover how developers use Neo4j to power inventive solutions across software stacks, cloud providers, and programming languages.

#### AI: Generative AI, Knowledge Graphs, and Retrieval-Augmented Generation

Explore the intersection of groundbreaking research and real-world applications using graph technologies and techniques.

#### Data Science: Machine Learning, Graph Data Science, and AI Models

Learn advanced techniques in data curation and maintenance designed to fuel AI models.

#### Graphs: Visualization, Data Integrations, and Tips & Tricks

Unlock the power of graphs, connect knowledge graphs to broader data systems, and uncover expert tips and tricks.

View the agenda in the Europe, Middle East and Africa timezones

Related topics

Data Analytics
Data Mining
Data Visualization
New Technology
Web Development

Sponsors

Building Neo4j-Powered Apps with Gen-AI

Building Neo4j-Powered Apps with Gen-AI

A comprehensive guide to building GenAI applications using Neo4j's KGs.

Free Hands-on Online Training

Free Hands-on Online Training

Learn about LLMs + Knowledge Graphs, RAG and more

Neo4j Community Forum

Neo4j Community Forum

Join the Neo4j experts in the forum for Graph Database knowledge & more!

Essential GraphRAG Ebook

Essential GraphRAG Ebook

A comprehensive guide on how to build a GraphRAG system from scratch.

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