Agent Studio, evolved from Vertex AI Agent Builder, enables the creation of AI agents grounded in enterprise data that can answer natural language queries.
What is Agent Studio?
Agent Studio is the low-code toolkit for developing AI-powered agents within the Gemini Enterprise Agent Platform (formerly Vertex AI). The service is the evolution of the former Vertex AI Agent Builder and combines generative AI with enterprise search and RAG capabilities to build chatbots and assistants based on internal company data.
The core value lies in grounding: instead of generic answers, agents built in Agent Studio deliver information sourced directly from documents, databases, or websites — mediated through the platform’s Agent Search and RAG Engine components. This reduces hallucinations and makes answers traceable and citable.
Agent Studio integrates seamlessly into the Gemini Enterprise Agent Platform: current Gemini models and other foundation models are available, custom models can be incorporated, and combining with Dialogflow CX is possible for complex conversation flows. For development teams that prefer full code control, the platform also offers the Agent Development Kit (ADK). Pre-built templates are available in Agent Garden.
Core Features
- Visual, low-code editor for agent workflows
- Grounding on enterprise data via Agent Search and RAG Engine
- Integration with current Gemini models and other foundation models
- Combinable with Dialogflow CX for complex dialog logic
- Connects to Cloud Storage, BigQuery, and web crawling as data sources
- Complemented by Agent Garden (templates) and ADK (code-first development)
Typical Use Cases
Customer Service Chatbots
A telecommunications company creates a support bot grounded in product documentation, FAQ databases, and troubleshooting guides. Customers receive precise answers with source citations instead of generic responses.
Enterprise Search
A consulting firm indexes thousands of project reports, proposals, and best practices. Consultants find relevant past projects through natural language search, for example digitalization projects involving a specific system integration.
RAG Applications for Departments
A legal department creates an assistant grounded in internal contract templates, legal opinions, and compliance documents. Lawyers receive context-aware answers with references to relevant documents.
Intelligent Product Assistants
An e-commerce company develops a product advisor grounded in product catalogs, customer reviews, and comparison tests. Customers receive personalized recommendations based on their requirements.
Knowledge Management and Onboarding
HR creates an onboarding assistant that guides new employees through company policies, process documentation, and frequently asked questions. The agent learns from all intranet content.
Integration with innFactory
As a certified Google Cloud partner, innFactory supports you in designing and implementing Agent Studio projects: from data preparation through prompt engineering to production deployment on the Gemini Enterprise Agent Platform.
Contact us for an AI consultation.
Available Tiers & Options
Agent Studio
- Low-code agent creation
- Grounding on your own data (Agent Search, RAG Engine)
- Native integration into the Gemini Enterprise Agent Platform
- Usage-based pricing
Dialogflow CX Integration
- Advanced conversation logic
- Multi-turn dialogs
- Omnichannel deployment
- More complex configuration
Typical Use Cases
Frequently Asked Questions
What is Agent Studio (formerly Vertex AI Agent Builder)?
Agent Studio is the low-code toolkit for AI agents within Google's Gemini Enterprise Agent Platform. It evolved from the former Vertex AI Agent Builder and enables visually creating, testing, and managing agents grounded in enterprise data.
How do Agent Studio, Agent Search, and Agent Garden relate to each other?
Agent Studio is the visual editor for designing agent workflows. Agent Search is the grounding and retrieval component that lets agents access indexed enterprise data. Agent Garden is the library of pre-built agent templates and examples. All three are part of the Gemini Enterprise Agent Platform.
What is the difference from Dialogflow?
Agent Studio uses generative AI and Gemini models for more natural conversations. Dialogflow CX provides rule-based flows for complex, structured dialogs. Both can be combined, with Agent Studio handling language understanding.
Which data sources can be connected for grounding?
Agent Studio supports data sources including Cloud Storage (PDFs, documents), BigQuery, website crawling, and structured data via Agent Search or RAG Engine. Data is automatically indexed and used for grounding.
Is Agent Studio GDPR compliant?
The Gemini Enterprise Agent Platform is available in several EU regions, and data can remain in the chosen region. Google Cloud provides Data Processing Agreements and relevant compliance certifications; the specific region should be verified for each project.
How does Agent Studio differ from custom agent development with the Agent Development Kit?
Agent Studio offers a low-code interface for rapid prototyping and deployment. For full control over code, model selection, and orchestration, the code-first Agent Development Kit (ADK) within the Gemini Enterprise Agent Platform is the better fit.
Note: All product information on this page has been compiled with care, but is provided without guarantee and may be outdated or incomplete. Cloud services evolve rapidly — features, pricing, SLAs, and availability change frequently. Authoritative and up-to-date information can only be found on the official product page of Google Cloud (official documentation). This page does not represent an offer by Google Cloud.
