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Build gen AI agents using Google Cloud databases
- Enterprises building generative AI agents require real-time data, typically stored in databases, for agentic orchestration.
- A new tech stack comprising models, tools, data stores, and applications is crucial for enterprises based on scalability, performance, security, and manageability.
- AI agents are developed to deliver personalized experiences, enhance productivity, aid in content generation, conduct data analysis, accelerate software development, and strengthen security.
- Agentic applications have a more sophisticated orchestration module enabling reasoning and planning using various tools.
- Agent runtimes consist of modules like orchestration, models for reasoning, and data retrieval from different sources.
- Connecting agents to Google Cloud Databases through agentic orchestration streamlines complex tasks and automates workflows.
- Gen AI Toolbox for Databases facilitates connecting production-grade AI applications to databases, improving tool management, security, scalability, and manageability.
- Using natural language to query databases, AlloyDB enables conversion of queries for efficient data access and retrieval by agents.
- Spanner's Graph capabilities simplify handling complex data models for agents by supporting graph, vector, and full-text search in a single database.
- The integration of Gen AI Toolbox with Google Databases enables developers to build sophisticated agentic apps efficiently.
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