Google Gen AI Documentation

Welcome to the Google Generative AI documentation. This comprehensive guide covers all aspects of Google's Generative AI services on Vertex AI.

Quick Navigation

Getting Started

Learn

• Deployments And Endpoints
• Google Models
• Model Monitoring Metrics
• Model Monitoring Metrics
• ...and 4 more

Models

• Use Gemma Open Models
• Use Gemma Open Models
• Use HEX LLM
• ...and 42 more

Multimodal

• Audio Understanding Speech Only
• Content Generation Parameters
• Custom Metadata Labels
• Design Multimodal Prompts
• ...and 18 more

Code

• Google Models
• Code Models Overview
• Error Code 429 1
• All Generative AI On Vertex AI Code Samples

Agents

• Vertex AI Agent Builder Overview
• ...and 10 more

Images

• Create Live Images From Text
• Edit Using Inpainting Insert Or Remove Objects
• Edit Using Outpainting
• Generate Images Using Text Prompts
• Get Image Descriptions Using Visual Captioning
• ...and 13 more

Extensions

• Code Interpreter Extension
• Create And Run Extensions
• Extensions Overview
• Projectslocationsextensions

Grounding

• Ground Responses Using RAG
• Grounding With Google Maps In Vertex AI
• Grounding With Your Data
• Use Google Search Suggestions
• Web Grounding For Enterprise
• ...and 1 more

RAG Engine

• Document Types For Vertex AI RAG Engine
• Fine Tune RAG Transformations
• Retrieval And Ranking
• Use Pinecone With Vertex AI RAG Engine
• Use A Weaviate Database With Vertex AI RAG Engine
• ...and 6 more

Deploy

• Deploy Generative AI Models

Model Garden

• Lora And Qlora Recommendations For Llms
• Overview Of Self Deployed Models
• Use Models In Model Garden
• Use Models In Model Garden
• Deploy And Inference Tutorial TPU
• ...and 1 more

Open Models

• Use Gemma Open Models
• Use Gemma Open Models
• Use HEX LLM
• ...and 1 more

Partner Models

• AI21 Labs Models
• Batch Predictions With Anthropic Claude Models
• Batch Predictions
• Count Tokens For Claude Models
• Use Anthropics Claude Models
• ...and 5 more

Samples

• Count Tokens For Gemini
• Delete A RAG File From An Index
• Function Calling With Gemini AI Model
• Generate Text With A Generative Model
• Generate An Image From Text
• ...and 28 more

Reference

• Execute Code With The Gemini API
• Function Calling Reference
• Gen AI Evaluation Service API
• Get Batch Predictions For Gemini
• Grounding
• ...and 44 more

SDKs

• Google Gen AI SDK

Quotas & Limits

• Quotas

Release Notes

• Generative AI On Vertex AI Release Notes

Support

• Vertex AI RAG Engine Supported Models
• Supported Models 1
• Getting Help 1

Other

• ...and 7 more

Getting Started

If you're new to Google's Generative AI services, start with:

1. Overview - Introduction to Generative AI on Vertex AI
2. Quickstart - Get started quickly
3. Models - Learn about available models
4. API Reference - Detailed API documentation

Key Features

• Gemini Models: State-of-the-art multimodal AI models
• Image Generation: Create and edit images with Imagen
• Code Generation: Generate code with specialized models
• RAG Engine: Retrieval-augmented generation capabilities
• Agent Development: Build intelligent AI agents
• Model Evaluation: Comprehensive evaluation tools

Resources

• Samples & Examples
• Best Practices
• Security & Compliance
• Support & Help

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