What is Google Vertex AI Agent Builder?

Google has announced the release of Vertex AI Agent Builder, a toolkit to simplify building conversational AI agents. Developed by Google Cloud, the Agent Builder offers a no-code console, allowing users to design, deploy, and manage intelligent AI agents easily. The tool lets users harness natural language for rapid prototyping and experimentation, eliminating the need for extensive coding knowledge.

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What is Google Vertex AI Builder?

Google Vertex AI Builder helps to train and implement machine learning (ML) models and AI applications, as well as personalize large language models (LLMs) for usage in these applications. Vertex AI integrates workflows from data science, data engineering, and machine learning to let teams work together with a shared toolkit and grow the user’s apps with the help of Google Cloud.

The builder offers different options for model training and deployment such as AutoML, Custom training, Model Garden, and Generative AI. 

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Here are some of the most prominent features of the Vertex AI Builder. Let’s have a look at them:

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Features

• Low-Code AI Application Development

Vertex AI Agent Builder empowers users to create generative AI-powered applications with minimal coding requirements. With its low-code APIs and code-first orchestration using LangChain on Vertex AI, developers can rapidly prototype and experiment with applications tailored to their unique business needs. This facilitates customizations, performance optimization, and targeted enhancements for large language model (LLM) performance.

• Enterprise-Grade Security and Compliance

Businesses can rely on Vertex AI Agent Builder for building AI experiences that meet rigorous security and compliance standards. The platform offers built-in security features and aligns with industry certifications such as HIPAA, ISO 27000-series, SOC-1/2/3, VPC-SC, and CMEK. This ensures that data privacy is maintained, access is controlled, and AI models and data are used responsibly.

• Seamless Integration with Enterprise Data and Systems

Vertex AI Agent Builder allows for seamless integration with enterprise data sources, ensuring the accuracy and relevance of AI agent responses. The Gemini API integrates Google Search results to enhance completeness and precision, while Vertex AI Search’s grounding system connects agents to trusted enterprise data sources with just a few clicks. For customized grounding solutions, users can leverage search components APIs and function-calling tools.

• Real-Time Monitoring and Performance Optimization

The platform offers real-time monitoring and adjustment capabilities to optimize AI agent performance. Users can track key metrics like usage, latency, safety, and cost, helping identify potential issues and improve over time. Its model-tuning capabilities enable users to work directly with foundation models or integrate out-of-the-box tools within the fully integrated platform.

• Accelerated Experimentation and Deployment

Vertex AI Agent Builder provides evaluation metrics and deployment tools that help assess and monitor the performance of generative AI applications. Built on Google Cloud’s enterprise-ready infrastructure, applications can be deployed with confidence, ensuring scalability and reliability to meet enterprise demands.

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How Does it work?

Vertex AI Agent Builder allows users to build AI applications with minimal coding. Using low-code APIs and code-first orchestration with LangChain on Vertex AI, developers can quickly create and customize applications that cater to their business needs. Here is how it works:

• The toolkit lets users design, deploy, and manage intelligent AI agents using natural language. This simplifies the development process and opens it up to more users.
• Vertex AI Agent Builder seamlessly connects with existing data sources to ensure accurate and relevant AI agent responses. The Gemini API integrates Google Search results for better accuracy, while Vertex AI Search connects agents to trusted data sources.
• The builder grounds AI agents in trusted data sources and Google Search results. This access to reliable information leads to more valuable and insightful conversations with users.
• The toolkit monitors AI agent performance in real time and offers tuning capabilities to optimize their behavior. It can track metrics like usage, latency, safety, and cost to identify issues and make improvements.

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Pricing

Google’s Vertex AI Agent Builder offers a flexible pricing model to suit usage needs, with costs determined by the number of queries processed:

• Vertex AI Agents: Starting at $12 per 1,000 queries, Vertex AI Agents enables businesses to build and deploy generative AI agents using natural language. The platform simplifies the development process, making it easier for users to create and manage intelligent AI agents without extensive coding knowledge.
• Vertex AI Search: Starting at $2 per 1,000 queries, Vertex AI Search provides a powerful information retrieval and answer generation system that leverages Google Search quality. This tool helps improve the performance of search applications and is particularly useful for businesses looking to enhance their search capabilities.
• Vector Search: Vertex AI’s vector search capabilities offer custom embeddings-based information retrieval tailored to the unique needs of enterprises. This feature enables businesses to harness the power of AI for advanced search and data analysis.

For more information on pricing details and custom solutions, users can visit the Vertex AI pricing page.

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