Independent research: GraphRAG makes AI agents 80% more truthful | Read the report

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NODES 26 — November 12, 2026

Engineering better intelligence

NODES 2026

NODES 2026 Agenda

Asia Pacific Europe Americas

Asia Pacific

Sessions by Track in Your Timezone

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Keynotes

By Yolande Poirier AI Builder Community Leader

photo of Sudhir Hasbe

Neo4j Product Vision & Roadmap

By Sudhir Hasbe President, Technology & Chief Product Officer, Neo4j

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Live Q&A with Emil Eifrém and Andreas Kollegger

By Andreas Kollegger GenAI Lead for Developer Relations, Neo4j, Emil Eifrem Co-Founder & CEO, Neo4j

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Vercel SDK Integration with Neo4j

By Karan Chellani Senior Solution Architect, Persistent, Kaustubh Darekar AI Engineer, Persistent Systems, Prakriti Solankey Full Stack Developer, Persistent Systems, Pravesh Kumar Data & AI Engineer, Persistent Systems

photo of Clemens Anzmann

Using the Neo4j NVL Skill to Create Custom Graph Visualizations on Top of Your Neo4j Instance

By Clemens Anzmann Software Engineer - Bloom, Neo4j

photo of Vivek Singh

Self-Learning Agentic Workflows: Using Neo4j to Build a Reusable Network Validation Layer

By Vivek Singh Sr Technical Leader Customer Experience, Cisco Systems

photo of Pratiksha Zalte

Beyond Queries: Engineering Full Neo4j PHP Driver Compliance with Bolt and TestKit

By Pratiksha Zalte IT Engineer, Nagels and Contributor, Neo4j PHP Driver

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The Semantic Compiler for Enterprise AI

By Yogendra Sharma Founder & CEO, Colrows

photo of Annisa Nur Fauzi

Transforming Corrupted Nusantara Open Data into a Neo4j and MCP Graph Intelligence Layer

By Annisa Nur Fauzi Information Systems Student, Institut Teknologi Sepuluh Nopember (ITS)

photo of Himanshu Goel

Graph-Powered Temporal Validity: Preventing RAG Systems from Citing Dead Regulations

By Himanshu Goel AI Research Engineer & Data Scientist | GenAI, LLMs, RAG

photo of Mutiara Noor Fauzia

Agentic GraphRAG QA for Endangered Species: Are Your Favorite Animals Extinct Yet?

By Mutiara Noor Fauzia Undergraduate Student, Information Systems ITS

photo of Erik Nord photo of Joel Sigurdsson

Neo4j Spark Connector Meets Spark 4

By Erik Nord Software Engineer, Neo4j, Joel Sigurdsson Software Engineer, Neo4j

photo of Koji Annoura

Beyond One LLM: Tracking Knowledge Changes with Neo4j

By Koji Annoura Graph Data & AI Practitioner, Community Builder, Speaker

photo of Andreas Hejj photo of Nick Perry

Motif Clarity – A Temporal Causal Knowledge Graph to Better Connect the Dots

By Andreas Hejj Co-founder & Tech Lead, motif, Nick Perry Software Engineer, motif

photo of Ayesha Hana Azkiya photo of Amandea Chandiki Larasati

Graph Analysis of Southeast Asian Biodiversity Data Using a Neo4j-Based Knowledge Graph and GraphRAG

By Ayesha Hana Azkiya Undergraduate Student, Sepuluh Nopember Institute of Technology, Amandea Chandiki Larasati Undergraduate Student, Sepuluh Nopember Institute of Technology

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Ontology-Guided Graph Federation for Agentic RAG

By Ii tae Jeong XCENA

photo of Aryant Pratap Singh

Building a Semantic Layer for Process Intelligence: RDF, BPMN, and Neo4j

By Aryant Pratap Singh Founding Engineer, CW

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Scalable Automated Enterprise Level Data Generation

By Vashu Chauhan Research Fellow, Microsoft

photo of Mahdi Karabiben

Graph Analytics for Every Builder: What’s New, What’s Possible, and What’s Next

By Mahdi Karabiben Senior Product Manager, Neo4j

photo of Himanshu Aggarwal

Catalog-Aware Fashion Chatbots: Using Knowledge Graphs as Context Memory

By Himanshu Aggarwal Machine Learning Engineer, Glance

photo of Sunidhi Shende

Merging Under Load: Point-in-Time Entity Resolution on a Live Neo4j Graph

By Sunidhi Shende Software Engineer, RUDRA

photo of Shi Lin photo of Hsin Chen

From Lab Decisions to Knowledge Graphs: Building BioGraph

By Shi Lin Project Lead, UC Berkeley-Academia Sinica, Hsin Chen Computational Microscopy Specialist, Academia Sinica

photo of Auxten Wang

Agent Memory Beyond Vectors: Queryable Context Graphs for Reliable AI Systems

By Auxten Wang Tech Director, ClickHouse

photo of Shuva Jyoti Kar

Overcoming Temporal Blindness: Serverless Cross-Temporal Reasoning with Neo4j and LangChain

By Shuva Jyoti Kar Sr Principal Engineer - Network R&D, Palo Alto Networks

photo of Doriana Negruț

The Missing Layer: Why AI Memory Should Start with Humans, Not Agents

By Doriana Negruț Founder & Software Architect, Luminaria

photo of Divakar Kumar

Unlocking Multi-Hop Reasoning with GraphRAG

By Divakar Kumar Technical Architect @FlyersSoft | Microsoft MVP | MCT

photo of Abhishek Das

Building an AI Customer Support Agent with Mastra & Neo4j

By Abhishek Das CTO & Co-Founder, SourcingXPress

photo of Hiroki Kokubo

“What Connects to This Pump?” — Agentic, Visual Search over Diagrams, Powered by Neo4j

By Hiroki Kokubo Digital Engineer, JGC Corporation

photo of Giulia Marchese

Public Healthcare: Either a Labyrinth or a Graph — GraphRAG Routing on Neo4j

By Giulia Marchese Data Scientist, Co-founder & CEO, Geen.ai

photo of Satej Sahu

Beyond Vector Memory: Building Temporal Graph Memory for Conversational Agents

By Satej Sahu Principal Data Engineer, Zalando SE

Europe

Sessions by Track in Your Timezone

photo of Yolande Poirier

Keynotes

By Yolande Poirier AI Builder Community Leader

photo of Sudhir Hasbe

Neo4j Product Vision & Roadmap

By Sudhir Hasbe President, Technology & Chief Product Officer, Neo4j

photo of Andreas Kollegger photo of Emil Eifrem

Live Q&A with Emil Eifrém and Andreas Kollegger

By Andreas Kollegger GenAI Lead for Developer Relations, Neo4j, Emil Eifrem Co-Founder & CEO, Neo4j

photo of Suranga Jude Nanayakkara

Exploring Databricks System Tables with Neo4j

By Suranga Jude Nanayakkara Bridging Software Engineering, Data Engineering & AI in real-world systems

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Going Full Circle with Virtual Graphs and Relational Databases

By Michael Simons Father, Husband, Programmer, Athlete. Author of @springbootbuch, founder of @euregjug. Java champion working on @springdata at @neo4j and usually breaking things as a service.

photo of Mark Dixon

Graph Types: Schema Enforcement Made Easy

By Mark Dixon Team Cypher, Neo4j

photo of Erik Nord photo of Emre Hizal

Microsoft Fabric Workload: Return to Lakehouse

By Erik Nord Software Engineer, Neo4j, Emre Hizal Software Engineer, Neo4j

photo of Tomaz Bratanic photo of Firat Tekiner

Meta Knowledge Graph: A Self Learning Agentic System

By Tomaz Bratanic Graph Data Analyst, Firat Tekiner Director AI Product Management

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Graph-Aware Recommendations with Neo4j GDS and Random Forest

By Martyns Nwaokocha Principal Knowledge Graph Engineer, IDC

photo of Jörg Baach photo of Georg Schwarz

A Metamodel for Neo4j: How Deutsche Bahn Describes Meaning and Rules Within Neo4j

By Jörg Baach Knowledge Architect, DB Systel, Georg Schwarz Experte (Graph Data Scientist), DB Systel

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Beyond Pins On a Map: Visualizing Connected Data at Scale

By Tony Smid Frontend Tech Lead, Neo4j GraphAware

photo of Brian Shi

GDS Agent for Advanced Graph Algorithmic Reasoning

By Brian Shi Lead Software Engineer, Neo4j

photo of Nathalie Charbel photo of Amir Layegh

Resolving Reality: The Hard Problem of Entity Resolution in Knowledge Graphs

By Nathalie Charbel Senior Software Engineer, Neo4j, Amir Layegh Software Engineer, Neo4j

photo of Jonathan Giffard

A Murder of MCP Servers: Taming AI Tool Sprawl with GraphQL Federation and a Knowledge Graph

By Jonathan Giffard Lead Product Manager, Neo4j

photo of Yiying Yu

Have Questions About Your Building? Why Not Ask It Directly In Your Language!

By Yiying Yu Founder, BâtiChat

photo of Makbule Gulcin Ozsoy

Improving Text2Cypher with Test-Time Strategies

By Makbule Gulcin Ozsoy Senior Software Engineer, Neo4j

photo of Dhru Devalia photo of Ali Ince

Neo4j Kafka Connector 6: A Major Step Forward

By Dhru Devalia Software Engineer, Neo4j, Ali Ince Software Engineer, Neo4j

photo of Eugene Rubanov

The Neo4j Aura Terraform Provider: Infrastructure as Code for Aura

By Eugene Rubanov Lead Software Engineer - Connectors, Neo4j

photo of Johannes Sommer

Using SemVec AI for Detecting Agentic Drifts

By Johannes Sommer Head of Sales & Co-Founder, SemVec AI

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Graph-Based Face Recognition at Scale with DeepFace + Neo4j Vector Search

By Sefik Serengil Software Engineer, Neo4j

photo of Andreas Säterås

Understanding Before Migrating: How We Used Knowledge Graphs to Transform Legacy Systems

By Andreas Säterås Knowledge Graph Architect & Founder, Bexamo

photo of Ed Sandoval

Aura Agent in Production: New Features and Customer Stories

By Ed Sandoval Sr Product Manager AI, Neo4j

photo of Emmanuela Opurum

From Vector Search to GraphRAG: Architecting AI Systems That Actually Work in Production

By Emmanuela Opurum Solutions/System Architect, SoftNet Technologies

photo of Joakim Nilsson photo of Johan Müllern-Aspegren

Building an Explainable GraphRAG System: From Clinical Notes to Knowledge Graphs with Neo4j

By Joakim Nilsson Knowledge Graph Lead, Capgemini, Johan Müllern-Aspegren Enterprise Architect | Emerging Tech Lead @ AIE | AI Futures Lab

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Sovereign Transaction Graphs – Adaptive Agents Without Context Leakage

By Mandy Goram Data & AI Solution Architect | Senior Manager Business Development | Engineering Data-, AI- and Software-Solutions, certified Data Protection and AI Officer, pmOne AG

photo of Alexis Ngoga

Why Did the Agent Do That? A Neo4j Decision-Trace Layer for AI Agents

By Alexis Ngoga AI/ML | Agentic AI Systems| Solution Architect

photo of Paweł Gołąb photo of Michał Domański

Inside the AI Detective’s Brain: Multi-Agent Deduction on Knowledge Graphs

By Paweł Gołąb Co-founder, BCNN & Founder, Million Monkeys Software, Michał Domański Founder, BCNN

photo of Louis Rodriguez photo of Sascha Cauchon

Agentic GraphRAG for a $100B Industry: Finding Sports Sponsors with Neo4j

By Louis Rodriguez CTO & Co-founder, LeadSponsor, Sascha Cauchon AI Engineer, Dataxx

photo of Eckhart Boehme

Building a Customer Intelligence Brain: How GraphRAG Turns Qualitative Data into Deliverables

By Eckhart Boehme Managing Director, unipro solutions GmbH & Co. KG

photo of Adrianna Janik

Explaining Link Predictions in Knowledge Graph Embedding Models

By Adrianna Janik KG+AI Researcher, Accenture Labs

photo of Malick Paye

Neo4j for Translational Intelligence: Connecting Biomarkers, Targets and Clinical Evidence

By Malick Paye Founder, D&A MedLabs

Americas

Sessions by Track in Your Timezone

photo of Yolande Poirier

Keynotes

By Yolande Poirier AI Builder Community Leader

photo of Sudhir Hasbe

Neo4j Product Vision & Roadmap

By Sudhir Hasbe President, Technology & Chief Product Officer, Neo4j

photo of Andreas Kollegger photo of Emil Eifrem

Live Q&A with Emil Eifrém and Andreas Kollegger

By Andreas Kollegger GenAI Lead for Developer Relations, Neo4j, Emil Eifrem Co-Founder & CEO, Neo4j

photo of Dan Mercede

Don’t Flatten the Tree: Ingesting Branched Conversations into a Knowledge Graph

By Dan Mercede AI Systems Architect, Agent Runtimes and Retrieval Pipelines

photo of Anand Ramachandran

The Story World and the Director’s Cut – From Knowledge to Narrative

By Anand Ramachandran Founder & CTO, Cogsolo Human Skills Platform

photo of Tushar Nitave

Graph-Driven Compliance: Automating Regulatory Content Authoring with Neo4j

By Tushar Nitave Staff Software Engineer, Vivpro.ai

photo of Mike Sturgeon

The Anatomy of a Building Is a Graph Spatial GraphRAG over 2D drawings: structuring a construction

By Mike Sturgeon Founder & Systems Architect, VIA

photo of Dimas Timmers photo of Alexandre Kawassaki

From 20 Years to a Diagnosis: Building LATAM’s Largest Rare-Disease Knowledge Graph

By Dimas Timmers Founder, Raras — building the data & AI infrastructure for rare diseases in Latin America, Alexandre Kawassaki CMO, Raras Health

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A Neurosymbolic Integration Planning Agent on Neo4j MCP

By Dmitry Izumskiy Principal Software Architect, Intuit

photo of Rashi Agrawal

Evals as a Graph: Tracing Prompt to Judge to Outcome Across Releases

By Rashi Agrawal Head of AI, Hinge Health

photo of Sohail Shaikh photo of Ankush Rastogi

From Stack Trace to Fix Path: GitHub Troubleshooting Graphs with Neo4j

By Sohail Shaikh Data Scientist, Ankush Rastogi Data Solutions Specialist

photo of Thomas Sauer

From Static Biomedical Knowledge Graphs to Dynamic Queries with ODE Models

By Thomas Sauer Data Scientist, Applied Research Associates

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The Autonomous Performance Agent: A Netflix Production Story

By Rajat Shah Staff Software Engineer, AI Platform, Netflix

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Mapping an Outbreak Without Mapping People: Anonymous Network Surveillance on a Graph

By Keletso Makofane Founder, Ctrl+F

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Stop Tuning Thresholds: Solve Entity Drift with a Temporal Graph

By Soumya Gummalla Data Engineer, Amazon Web Services

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One Year of Insights From the Neo4j Startup Program

By Brian O'Keefe Manager, Solutions Engineering, Startup Program, Neo4j

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Structure Is Not Security: Poisoning Graph-Based Agent Memory Through the Extraction Pipeline

By Ramona Truta Independent AI Security Researcher · Adversarial agentic AI · Structure is not security

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Building an AI-Driven 4-Layer Intelligence Architecture with Neo4j for OSINT Investigations

By Lucas Matheus Founder & Research Lead, RecomendeMe

photo of Maulik Bhatt

From Vector RAG to GraphRAG: Building Context Graphs as Durable Memory for Production AI Agents

By Maulik Bhatt Senior Software Engineer, Amazon Web Services

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How Adobe is Building Agentic Loop to Detect an Issue, Experiment with Various Solutions

By Parag Awadhiya Senior Technical Lead, Adobe, Jason Robison Senior Computer Scientist, Adobe

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The GraphRAG System That Asks Back: Intelligent Probing with Better Contextual Answers

By Rajarshee Dhar Technical Leader - AI/ML, Cisco

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When RAG Hallucinates Numbers: Graph-RAG for Precise Answers

By Elizabeth Fuentes Leone Developer Advocate

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GNN Reasoning over a Multi-Layer Biological Knowledge Graph with Agentic Verification

By Evan Harris Peikon Graduate Student, George Mason University, Yucheng Lo PhD Student, George Mason University School of System Biology

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The Memory Graph: How Knowledge Graphs Power Sovereign AI and a New Data Economy

By Esther Anglade Researcher & Founder, OHACO Labs

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Beyond GraphRAG: Building Neuro-Symbolic AI Systems with Neo4j and Ontologies

By Otávio Calaça Xavier Senior Software Architect and Deep Learning Researcher

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GraphRAG in Motion: Real-Time Knowledge Graphs for Agentic AI on AWS

By Harshit Kohli Sr Technical Account Manager, Amazon Web Services