From Agents to Analytics: What’s New from Neo4j on Google Cloud
Blog post from Neo4j
Neo4j and Google Cloud have expanded their collaboration to enhance the adoption of graph-powered AI applications, introducing new integrations and tools that support enterprises transitioning from AI experimentation to production. This includes the availability of Neo4j AI Agent within the Gemini Enterprise console, allowing seamless integration without a standalone marketplace, and the introduction of a Neo4j Gemini CLI extension to facilitate command-line deployment and query generation. Enhancements such as a complete agent memory API and Pub/Sub integration with Google Cloud bolster real-time data workflows and analytics. The Neo4j Aura agents, leveraging Gemini 3 as the reasoning engine, can now incorporate graph-grounded retrieval, while the Neo4j Terraform Provider aids in designing data flows. Furthermore, the Neo4j Community and Enterprise Editions are now more accessible through Google Cloud Marketplace, offering ease of deployment and tighter control over infrastructure, with a particular focus on sectors like healthcare that rely on connected data. These innovations reflect a commitment to making graph technology more practical and accessible for enterprises leveraging Google Cloud.
| Trend | Post Mentions | Total Month Mentions | Posts | Companies | MoM |
|---|---|---|---|---|---|
| AI Agents | 5 | 4,430 | 1,100 | 236 | -3% |
| Real-time | 5 | 6,296 | 1,346 | 246 | -2% |
| MCP | 4 | 6,108 | 613 | 170 | +36% |
| Data Pipeline | 1 | 770 | 196 | 80 | +5% |
| RAG | 1 | 941 | 216 | 85 | -48% |
| Vector Search | 1 | 1,739 | 413 | 146 | -27% |
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