• Neo4j Live: From Text to Insights with Dashboards on Aura

  • Pharma Supply Chain Demo – GT Pharma 2025

  • The Trouble with Triples (Experiences from the field with RDF to LPG) – GT Pharma 2025

  • Translating genetic findings to targeted therapies for children with rare diseases – GT Pharma 2025

  • Connecting the Dots: Knowledge Graphs as the Engine of R&D Innovation – GT Pharma 2025

  • Building enterprise-scale knowledge graphs for biomedical discovery – GT Pharma 2025

  • Individual-level Data Integration using Graph Approaches – GT Pharma 2025

  • Synaptix: Managing R&D Knowledge using Graphs & GenAI – GT Pharma 2025

  • Knowledge Graphs: The Strategic Foundation for AI-ready Data in the Enterprise – GT Pharma 2025

  • Build a Pathfinding Engine in Snowflake with Neo4j Graph Analytics

  • Neo4j Live: Essential GraphRAG

  • Episode 4: Use Neo4j in Your App (Python, GraphQL & More)

  • Episode 3: Import Data into Neo4j (No Code Needed!)

  • Neo4j Live: Aurendil – A Future Graph Database Runtime

  • Discover Neo4j AuraDB – AgenticAI & MCP S02E04

  • How Neo4j Aura Graph Analytics Helps Developers Model Real-World Patient Data

  • Neo4j Aura Graph Analytics Demo: Fraud Detection in P2P Networks

  • Predictive Maintenance for Factory Uptime with Neo4j Graph Analytics for Snowflake

  • Going Meta S02E10 – Structuring Biomedical Noise: Graphs, AI and the Drug Discovery Dilemma

  • FikaAI Interview with Vasilije Markovic

  • FikaAI Interview with Jacob Lee

  • FikaAI Interview with Arun Joseph

  • Visualizing Connected Data with Dashboards

  • A Graph Learning Journey: Graph Data Science Overview

  • Neo4j Live: CyVer – Verifying Cypher Queries

  • Introducing Neo4j Desktop v2.0

  • Neo4j Transaction Graph Demo: How to Uncover Fraud

  • A Graph Learning Journey: AMA on Graph-Powered GenAI

  • A Graph Learning Journey: Pass the Neo4j Certification Exam Like a Pro

  • A Graph Learning Journey: AMA on Courses & Certification

  • Neo4j Graph Analytics for Snowflake

  • Predictive Maintenance with Neo4j Aura Graph Analytics for Factory Uptime

  • Uncover Hidden Patterns with Neo4j Graph Analytics for Snowflake

  • Finding Hidden Fraud Networks: Native Graph Analytics in Snowflake with Neo4j

  • Smarter GenAI with Neo4j AuraDB and Google Cloud

  • Neo4j Live: RushDB in Action – Graph-Native Tools for the AI Era

  • Neo4j Live: AI Engineer World’s Fair GraphRAG Track

  • Discover Neo4j AuraDB – BigQuery import + GDS plugin + Bloom + GDS sessions S02E03

  • Using Aura Graph Analytics to Model NYC Subway Disruptions

  • FikaAI Interview with A N M Bazlur Rahman

  • FikaAI Interview with Abel Fresnillo

  • FikaAI Interview with Ammar Yusuf

  • How to Detect Fraud in Peer-to-Peer Networks Using Aura Graph Analytics

  • Going Meta S02E09 – Structural Patterns for Ontology Reconciliation

  • Neo4j Live: MCP for LLM Agents, APIs & Graphs

  • FikaAI Interview with Barry Burd and Richard Fichtner

  • Neo4j Aura Graph Analytics Demo

  • Web Summit Rio 2025 – Lies, damn lies, and AIs

  • FikaAI Interview with Brian Fox

  • FikaAI Interview with David Parry

  • FikaAI Interview with Erin Schnabel

  • FikaAI Interview with Eyal Wirsansky

  • FikaAI Interview with François Martin

  • FikaAI Interview with Frank Greco

  • FikaAI Interview with Gabriela de Queiroz

  • FikaAI Interview with Ivar Grimstad

  • FikaAI Interview with Jeanne Boyarsky

  • FikaAI Interview with Kito Mann

  • Future-Proof Your GenAI with Neo4j and AWS: Boost Accuracy & Explainability

  • Neo4j Live: How to Build a Knowledge Graph

  • FikaAI Interview with Mattias Karlsson

  • FikaAI Interview with Michael Redlich

  • FikaAI Interview with Michele Catasta

  • FikaAI Interview with Orlando Valdez

  • FikaAI Interview with Thierry Damiba

  • FikaAI Interview with Adam Miller

  • FikaAI Interview with Erik Kaunismaki

  • FikaAI Interview with Ben Hindman

  • GS Munich – Neo4j Product Vision and Roadmap

  • GS Munich – Understanding Threats By Visualizing Patterns

  • GS Munich – Graphs + AI: Your Enterprise Advantage

  • Neo4j Fundamentals Virtual Workshop

  • Neo4j Live: Advancing GraphRAG: Text, Images and Audio for Multimodal Intelligence

  • Discover Neo4j AuraDB – S02E02: MCP on AuraDB

  • Explore No-Code GraphRAG Agents in 10 Minutes on Your Own Data

  • GS Amsterdam – Neo4j Product Vision & Roadmap

  • GS Amsterdam – Connecting Culture with Knowledge Graph:The Rijksmuseum Collection

  • GS Amsterdam – Graphs + AI: Your Enterprise Advantage

  • GS Nordics – Expert Q&A Panel

  • GS Nordics – Neo4j Product Vision & Roadmap

  • GS Nordics – Green Cargo – Creating a Digital Twin of Freight Train Operations Using Neo4j

  • GS Nordics – Graphs + Al: Your Enterprise Advantage

  • Neo4j Live: GraphRAG for Smarter Medical AI

  • Going Meta S02E08 – Agentic Workflows for Dynamic Ontology Selection in KG Construction

  • Emil Eifrem at HumanX

  • Neo4j Live: Stunning Graph Visualizations with NVL

  • Neo4j Live: Exploring Cypher Workbench

  • Neo4j Live: Building AI Agents with Google’s MCP Toolbox

  • Neo4j for Fraud Detection

  • Discover Neo4j AuraDB – S02E01

  • Going Meta S02E07 – Enhancing LLM Tool Calling with Ontologies

  • Neo4j Fundamentals Virtual Workshop

  • Neo4j Live: Generating Graph Data from Unstructured Data with BAML

  • Fika Interview with Lisa Cao

  • Fika Interview with Vaibhav Gupta

  • Neo4j Live: Building Model Native Apps With Hypermode & Neo4j

  • Neo4j Live: Neo4rs – A Native Rust Driver for Neo4j

  • Fika Interview with Clair Sullivan

  • Fika Interview with Andrew Nguyen