Overview
Vertex AI Agent Builder provides tools for creating AI-powered agents and search applications. Integrates with Google's Gemini models and GCP services.
Key Statistics
Overall Rating
4.2/5
Last Updated
2025-10
Version
GA
Features
Conversational agents
Conversational agents capabilities
RAG
RAG capabilities
Enterprise search
Enterprise search capabilities
GCP integration
GCP integration capabilities
Getting Started
Installation
gcloud CLI or Cloud Console
Quick Start
Use Google Cloud Console or gcloud CLI
Code Example
from google.cloud import aiplatform
Pros & Cons
Advantages
Enterprise-grade Google Cloud integration
Gemini models access
Low-code agent builder
Strong security and compliance
Scalable cloud infrastructure
Limitations
Vendor lock-in to Google Cloud
Pricing can be complex and expensive
Learning curve for GCP services
Less flexibility than open source
Requires GCP account and setup
Technical Details
Primary Language
Python
Supported Languages
License
Proprietary
Enterprise Ready
Yes
Community Size
Very Large
Pricing
Commercial
Pay-as-you-go: Agent Builder requests, Gemini API usage, storage. Custom enterprise pricing available.
Performance Metrics
easeOfUse
3/5
scalability
5/5
documentation
4/5
community
4/5
performance
5/5
Common Use Cases
Enterprise conversational agents
Customer service automation
Document search and RAG
GCP-integrated AI applications
Multi-modal agent experiences