Build generative AI experiences with Vertex AI Agent Builder

Points

• How can I get started with Vertex AI Agent Builder?
• Are there any tutorials or workshops available?
• Can I integrate it with my existing applications or services?
• Are there any case studies of successful integrations?

Generative AI opens up a world of possibilities for developers and organizations, allowing them to optimize business processes, enhance customer interactions, and discover new revenue streams. However, building and deploying generative AI agents can be challenging due to factors like cost, governance, and scalability.

To address these challenges, Google Cloud introduces Vertex AI Agent Builder, which combines Vertex AI Search and Conversation products with enhanced tools for developers. Here are some highlights:

1. Ease of Use: Vertex AI Agent Builder caters to developers of all levels. It offers a no-code console for building AI agents using natural language and supports open-source frameworks like LlangChain on Vertex AI.
2. Grounding in Enterprise Data: The tool streamlines grounding generative AI outputs in enterprise data. It includes Vertex AI Search as an out-of-the-box grounding system and RAG (retrieval augmented generation) APIs for document layout processing, ranking, retrieval, and checks on grounding outputs.
3. Vector Search: Developers can use vector search to build embeddings-based agents, improving model response accuracy and usefulness.
4. Security and Enterprise Controls: Vertex AI Agent Builder ensures security and provides enterprise controls, making it a one-stop solution for creating production-ready generative AI-powered experiences.

Several Google Cloud customers are already leveraging Vertex AI Agent Builder for exciting use cases, from customer experience enhancements to boosting internal efficiency. For instance:

• ADT is building an agent to assist its 6 million customers in selecting and setting up home security systems.
• Intercontinental Hotels Group will launch a generative AI-powered travel planning capability.
• NewsCorp uses Vertex AI to search data across 30,000 global sources and 2.5 billion daily news articles.
• Mayo Clinic researchers search over 50 petabytes of clinical data.
• Vodafone rapidly and securely queries documents and understands commercial terms across 10,000 contracts.

1.How can I get started with Vertex AI Agent Builder?

To get started with Vertex AI Agent Builder, follow these steps:

1. Access Google Cloud Console:
   • Log in to your Google Cloud Console.
   • If you don’t have an account, sign up for one.
2. Navigate to Vertex AI:
   • In the Cloud Console, click on the navigation menu (☰) and select “AI & Machine Learning” > “Vertex AI”.
3. Create a New Project (if needed):
   • If you haven’t already, create a new project or select an existing one.
   • Click on the project dropdown at the top of the page and choose “New Project” or select an existing project.
4. Enable Vertex AI API:
   • Ensure that the Vertex AI API is enabled for your project. If not, click on “Enable APIs and Services” and search for “Vertex AI API” to enable it.
5. Access Vertex AI Agent Builder:
   • In the Vertex AI section, click on “Agent Builder”.
   • You’ll be taken to the Vertex AI Agent Builder console.
6. Create Your First Agent:
   • Click on “Create Agent” to start building your generative AI experience.
   • Follow the prompts to define your agent’s purpose, use case, and desired outcomes.
7. Configure Grounding and Vector Search:
   • Set up grounding for your generative AI outputs using Vertex AI Search or other methods.
   • Explore vector search options to enhance model accuracy.
8. Test and Deploy:
   • Use the built-in testing tools to evaluate your agent’s performance.
   • Once satisfied, deploy your agent to a production environment.
9. Monitor and Optimize:
   • Monitor your deployed agent’s performance and make necessary adjustments.
   • Optimize for scalability, cost-effectiveness, and security.
10. Explore Documentation and Examples:
    • Refer to the official Google Cloud documentation for detailed instructions and examples.
    • Learn from use cases and best practices to make the most of Vertex AI Agent Builder.

Remember that Vertex AI Agent Builder empowers you to create and deploy enterprise-ready generative AI experiences.

2.Are there any tutorials or workshops available?

Here are some resources to help you get started with Google Vertex AI Agent Builder:

1. Blog Article:
   • Read the blog article titled “Build generative AI experiences with Vertex AI Agent Builder“ to explore the capabilities and use cases of Vertex AI Agent Builder. It covers topics like ease of use, grounding in enterprise data, vector search, and security features.
2. Tutorials:
   • Google Cloud provides a series of tutorials that walk you through specific artificial intelligence (AI) workflows using Vertex AI. These tutorials represent common tasks and illustrate the capabilities of Vertex AI. Choose the tutorial that aligns with your data type and AI task from the Vertex AI Tutorials Overview.
3. Custom Model Training Lab:
   • If you’re interested in training and serving custom models, check out the Google Codelab on training and serving a TensorFlow model using Vertex AI. This lab demonstrates how to build and containerize model training code in Vertex Workbench.
4. Training Your Own Models:
   • Explore the overview of the workflow for training and using your own models on Vertex AI. Vertex AI offers two methods for model training: AutoML (for minimal technical knowledge) and custom training.
5. Hackathon Resources:
   • If you’re feeling adventurous, consider participating in the Google Cloud Vertex AI Agent Builder Hackathon. You’ll find exciting project ideas and examples there⁵.

Remember, Vertex AI Agent Builder empowers developers to create and deploy enterprise-ready generative AI experiences.

3.Can I integrate it with my existing applications or services?

Google Vertex AI Agent Builder can be seamlessly integrated with your existing applications and services. Here’s how you can achieve that:

1. API Integration:
   • Vertex AI Agent Builder provides APIs that allow you to interact programmatically with your agents. You can integrate these APIs into your applications or services to perform tasks like querying agents, retrieving generative AI outputs, and managing agent configurations.
2. Webhooks and Event Triggers:
   • Set up webhooks or event triggers to receive notifications when specific events occur within your agents. For example, you can trigger an action in your application whenever a new generative response is available from an agent.
3. Custom Front-End Interfaces:
   • Build custom front-end interfaces that allow users to interact with your generative AI agents. You can create chatbots, virtual assistants, or recommendation engines using Vertex AI Agent Builder as the backend.
4. Embedding in Web Applications:
   • If you have web applications, consider embedding generative AI components powered by Vertex AI Agent Builder directly into your user interfaces. This allows users to seamlessly experience AI-generated content within your app.
5. Mobile App Integration:
   • Extend your mobile apps by integrating Vertex AI Agent Builder. Whether it’s for personalized recommendations, content generation, or interactive storytelling, mobile apps can benefit from generative AI capabilities.
6. Data Pipelines and Workflows:
   • Integrate Vertex AI Agent Builder into your data pipelines and workflows. For instance, use generative AI to enhance search results, automate content creation, or assist users in decision-making processes.
7. Enterprise Systems:
   • If you’re building enterprise applications, consider integrating Vertex AI Agent Builder with your existing systems. Use generative AI to improve customer support, automate responses, or enhance internal processes.

Remember that Vertex AI Agent Builder is designed to be flexible and adaptable, allowing you to tailor its integration to your specific use cases. Explore the official documentation and experiment with different approaches to seamlessly incorporate generative AI experiences into your applications!

4.Are there any case studies of successful integrations?

Here are some case studies showcasing successful integrations of Google Vertex AI Agent Builder:

1. ADT (Home Security Systems):
   • Use Case: ADT, a leading provider of home security systems, is building an agent using Vertex AI Agent Builder. This agent assists over 6 million customers in selecting and setting up their home security systems. The generative AI-powered agent enhances the customer experience by providing personalized recommendations and guidance¹.
2. Intercontinental Hotels Group (Travel Planning):
   • Use Case: Intercontinental Hotels Group (IHG) plans to launch a generative AI-powered travel planning capability. Guests can easily plan their next vacation using this agent. It demonstrates how Vertex AI Agent Builder can enhance customer interactions and streamline travel planning processes¹.
3. NewsCorp (Global News Search):
   • Use Case: NewsCorp leverages Vertex AI to search data across 30,000 global sources and 2.5 billion news articles updated daily. The generative AI agent helps NewsCorp efficiently retrieve relevant information from vast amounts of data. It showcases the power of Vertex AI Agent Builder in handling large-scale content search¹.
4. Mayo Clinic (Clinical Data Search):
   • Use Case: Researchers at Mayo Clinic use Vertex AI Agent Builder to search over 50 petabytes of clinical data. The agent assists in retrieving critical medical information, demonstrating how generative AI can enhance healthcare research and decision-making¹.
5. Vodafone (Contract Query Tool):
   • Use Case: Vodafone has developed a tool using Vertex AI to rapidly and securely query documents. Specifically, it understands specific commercial terms and conditions across over 10,000 contracts. This integration showcases how Vertex AI Agent Builder can improve internal efficiency and streamline contract management¹.

These real-world examples highlight the versatility and impact of Vertex AI Agent Builder across various domains. Whether it’s customer experience, travel planning, news search, healthcare, or contract management, Vertex AI Agent Builder empowers organizations to create production-ready generative AI-powered experiences!