Google’s GenAI Toolbox for Databases just got a major upgrade—now with Neo4j support! 🎉
Join us to explore how this integration supercharges GraphRAG-powered AI agents, making GenAI applications more accurate, reliable, and explainable.
This addition enables developers and organizations using Neo4j to create agentic tools that access their data using the popular GraphRAG techniques, expanding the Toolbox’s usefulness for Gen AI applications.

Guests: Kurtis Van Gent, Staff Software Engineer, Google + Michael Hunger, Head of Product Innovation & Developer Strategy, Neo4j

GenAI Toolbox: https://github.com/googleapis/genai-toolbox
Docs: https://googleapis.github.io/genai-toolbox/getting-started/introduction/
GraphRAG: http://graphrag.com/
Demo code: https://github.com/neo4j-examples/neo4j-gcp-vertex-ai-langchain/tree/main/toolbox-companies
Blog: https://medium.com/google-cloud/building-ai-agents-with-googles-gen-ai-toolbox-and-neo4j-knowledge-graphs-835c0cda3090
Google Cloud Next 2025 – LangGraph and Gen AI Toolbox: Building generative AI agents on your databases https://cloud.withgoogle.com/next/25/speakers?session=BRK3-025

0:00 – Introduction & Welcome
3:00 – What Are Agents and Agentic AI?
6:40 – The Role of Tools in Agentic AI
10:06 – Introducing Google’s GenAI Toolbox
22:44 – Neo4j Integration with GenAI Toolbox
34:42 – Live Demo: Investment Research Agent with Neo4j
46:57 – Multi-Step Query Execution with Agents
54:48 – Q&A: Toolbox Features & Future Plans
1:00:00 – WrapUp

#neo4j #google #genai #graphrag #knowledgegraph #AIAgents #GoogleAI #LLM