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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

  • From Vector RAG to GraphRAG: Building Context Graphs as Durable Memory for Production AI Agents, Maulik Bhatt, Amazon Web Services
  • How Adobe is Building Agentic Loop to Detect an Issue, Experiment with Various Solutions: Parag Awadhiya & Jason Robison, Adobe
  • The GraphRAG System That Asks Back: Intelligent Probing with Better Contextual Answers, Rajarshee Dhar, Cisco
  • When RAG Hallucinates Numbers: Graph-RAG for Precise Answers, Elizabeth Fuentes Leone
  • GNN Reasoning Over a Multi-Layer Biological Knowledge Graph with Agentic Verification: Evan Harris Peikon & Yucheng Lo, George Mason University
  • The Memory Graph: How Knowledge Graphs Power Sovereign AI and a New Data Economy, Esther Anglade, OHACO Lab

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.

Related topics

AI/ML
Graph Databases
Software Development
Search, Information Retrieval

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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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