Google AI Agent Development

[SundharGoogleA1]

Hi, i am new to AI and google AI agent development. I have some theoretical knowledge. 
The below diagram provides the details on data source and outcome expected.

But, i am not sure that how to achieve this in Vertex AI Agent Builder or Vertex AI. Some folks are saying that it requires multi-agent framework, some other folks are saying that this can't developed using Agent Builder, you need firebase genkit, etc.

Can you pls guide me the high-level approach, i will explore other things. Thank you!!!

Regards,

Sundhar Raj

[NorieRam]

Hi @SundharGoogleA1,

Welcome to Google Cloud Community!

It sounds like you're diving into a project. If you're aiming to create an AI agent, start by clearly defining your objectives and expected outcomes. If your project involves a straightforward conversational AI, Vertex AI Agent Builder is an excellent starting point. It offers tools to build, deploy, and manage AI agents without requiring extensive coding skills. This works well if you only need a single agent with specific functions.

For complex projects with multiple agents or workflows, consider LangChain for orchestration between AI models, or Firebase GenKit for AI features integrated with Firebase services, especially for multimodal capabilities.

To get started, create a prototype using Vertex AI Agent Builder to test your basic agent’s functionality. If you identify gaps or need advanced features, explore the frameworks mentioned above to scale or enhance your system. This iterative approach helps you progress step by step without overwhelming complexity upfront.

Here are some helpful links in using Vertex AI Agent Builder:

• Building AI Agents with Vertex AI Agent Builder
• Blog about Vertex AI Agent Builder
• Vertex AI Agent Builder code samples
• Dialogflow CX & Vertex AI Agent Builder

Was this helpful? If so, please accept this answer as “Solution”. If you need additional assistance, reply here within 2 business days and I’ll be happy to help.