Google Cloud is teaming up with Neo4j to enhance knowledge graph technology, providing tools for building agentic applications that seamlessly integrate diverse database tools, including those powered by Neo4j. Two new Text2Cypher models, built on Google's Gemma 3 architecture, are available, enabling developers to unlock greater value from their knowledge graph data stored in Neo4j. These models can be deployed directly from Model Garden on Vertex AI and are also publicly available on Hugging Face. The collaboration aims to address the need for a trusted open-source Text2Cypher model to streamline natural language querying of graph databases, empowering developers to accelerate the development of graph-powered solutions. Google's MCP Toolbox for Databases has been enhanced with Neo4j knowledge graphs, allowing developers to build agentic applications that integrate diverse database tools and leveraging knowledge graphs in GraphRAG applications. Live demos will be available at Google Cloud Next 25.