Graph Database - DACH (Germany, Austria, Switzerland )

Guest: Jose Latorre ( https://www.linkedin.com/in/joslat/ )

Blog: https://neo4j.com/blog/developer/agentmemory-for-net-a-native-sibling-to-neo4j-agent-memory/

#neo4j #graphdatabase #agenticai #knowledgelayer #knowledgegraph #graphrag #AIAgents #dotnet #agentframework

Register: https://neo4j.registration.goldcast.io/series/94f27929-1670-4f2b-bfdd-ab4e48eb8c22

# Road to NODES 26 Workshops

Get hands-on with graphs and AI before NODES 2026, Neo4j's free 24-hour global conference on November 12. Road to NODES is a series of free, two-hour, live workshops that walk you through building real graph-powered systems step by step.
Sessions include:

• Oct 1 — Build knowledge graphs from unstructured documents and structured data, then power similarity search with embeddings and Neo4j vector indexes.
• Oct 8 — Tackle hallucinations at the structural level with GraphRAG retrieval, semantic tool selection, multi-agent swarms, and agent steering.
• Oct 15 — Build a lightweight knowledge layer over your documents and SQL data using tables of contents, themes, and a semantic connections layer.
• Oct 22 — Query Snowflake, Databricks, or Google BigQuery directly with Cypher using Neo4j Virtual Graph, no data movement required.
• Oct 29 — Build a full graph-based agent memory stack with hierarchical context graphs and dynamic playbooks.
• Nov 5 — Build a memory layer with the Neo4j Agent Memory Service, combining short-term conversation history, long-term entities, and reasoning traces in one graph.

Each session runs live at multiple times to fit different time zones, so pick the slot and topics that work for you.

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