Graph Database - DACH (Germany, Austria, Switzerland )

Register: https://globalai.community/e/ack9t53d

Bring your coding agent. Pick an idea. Build something.
Graphs Gone Wild is for people experimenting with AI agents, memory, documents, graphs, MCP, and new developer tooling.
Use whatever stack you like: Cursor, Claude Code, Codex, Copilot, your own agent setup, frameworks, databases, models, or something completely experimental.
For this NODES 2026 pop-up, Neo4j will provide some of the building blocks, including Document Intelligence, Aura MCP, knowledge graphs, and Agent Memory.
More tools, technologies, and partners will be revealed soon.
The goal: build something interesting in a few hours. It does not need to be polished. A working experiment and a good demo are enough.
What can you build?
Anything around agents, connected knowledge, memory, documents, tools, or graphs.

Register: https://www.meetup.com/vienna-data-science-group-meetup/events/315639920/

Legit Check for AI - Grounding AI with Knowledge Graphs for Transparency and Trust at the Core
AI systems are only as trustworthy as the data they reason over. But when that data is highly interconnected — products, brands, trends, relationships — flat retrieval architectures like RAG fall short: they can't traverse context, can't explain their paths, and can't make their reasoning visible.
This talk shows how Knowledge Graphs change that equation.
Using a real-world dataset scraped from sources like Sneaker News, WWD, and StockX, we demonstrate how to build a Knowledge Graph from unstructured documents and use it to ground Large Language Models, making their outputs not just more accurate, but genuinely explainable.
We'll walk through:

• Building the graph — extracting structured knowledge from unstructured web sources and modeling it as a connected graph
• Grounding LLMs — how Knowledge Graph context replaces hallucination-prone retrieval and gives the model structured facts to reason over
• Visualizing trust — how graph-based visualizations let users see why the AI answered the way it did, not just what it answered

NODES, the biggest community gathering dedicated to engineering better intelligence returns on November 12, 2026, for its eighth year.
Join thousands of developers and data and AI practitioners for this free, 24-hour conference to learn about the latest advancements in intelligent systems and gain insights from speakers who showcase their implementations, tools, and models.

The agenda is out!!! Here is a snapshot from the AI Engineering track

1. From Vector Search to GraphRAG: Architecting AI Systems That Actually Work in Production, Emmanuela Opurum, SoftNet Technologies
2. Building an Explainable GraphRAG System: From Clinical Notes to Knowledge Graphs with Neo4j, Joakim Nilsson, Capgemini & Johan Müllern-Aspegren, AI Futures Lab
3. Sovereign Transaction Graphs – Adaptive Agents Without Context Leakage: Mandy Goram, pmOne AG
4. Why Did the Agent Do That? A Neo4j Decision-Trace Layer for AI Agents: Alexis Ngoga
5. Inside the AI Detective's Brain: Multi-Agent Deduction on Knowledge Graphs, Paweł Gołąb & Michał Domański, BCNN

Check out the full agenda of unique live sessions

Before NODES 2026: Get hands-on with GraphRAG, agent memory, context graphs, and agentic engineering in our 2-hour workshop series—and share NODES with your fellow devs for a chance to win $200 in cool prizes. Come to NODES with a few new patterns, ideas, and questions ready to dig into.