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Über uns

Developers interested in learning about and working with graph databases for social, spatial, hierarchical or other highly connected data sets. We host hands-on lab sessions, technology reviews, topical lectures, and plenty of social beer nights. Curious about graphs, want to pimp your non-RDBMS skills? Join us! more at http://neo4j.com

Interested to speak at this or future meetups? Fill this form: https://dev.neo4j.com/submit-your-talk

Sponsoren

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.

Agentic AI in the Wild: What Actually Runs in Production

Agentic AI in the Wild: What Actually Runs in Production

w3.hub, Möckernstraße 120, 10963 Berlin, Berlin, DE

Register: https://globalai.community/e/7lns53g4

## Connected Intelligence: AI Builders Meetup — WeAreDevelopers PreDay, Berlin

AI agents are moving into production. The question is no longer whether to use them, but what it actually takes to make them work once the demo is over.
This WeAreDevelopers PreDay meetup is for builders, founders, and practitioners wiring AI agents into real codebases, CI/CD pipelines, developer platforms, and knowledge systems. The evening focuses on the honest conversations that rarely fit into a conference talk: what breaks at scale, what context engineering really looks like, and where the failure modes hide.
The theme is connected intelligence: how graph-based reasoning, smarter pipelines, and agentic code review are changing production AI systems, and what engineering teams need to do differently to support them.
We will explore constraint satisfaction in agent decision-making, agentic AI in production, AI-powered development workflows, and Java’s role in the future of AI systems. No vendor pitches. Just the stuff that runs in production.

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  • Foto des Nutzers
  • Foto des Nutzers
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