Generative AI Development Kit
16.6k 2026-04-13

GoogleCloudPlatform/generative-ai

Provides sample code, notebooks, and resources for building and managing generative AI workflows on Google Cloud using Vertex AI and Gemini.

Core Features

Comprehensive samples for Gemini models, including Gemini 3.1 Pro.
Integrations with Vertex AI services like Search, Imagen (image generation/editing), and Chirp (speech).
Guidance on Retrieval Augmented Generation (RAG) and grounding techniques.
Resources for setting up development environments on Google Cloud, Colab, and Vertex AI Workbench.
Sample applications and code for various generative AI use cases.

Detailed Introduction

This repository is a central hub for developers to explore and implement generative AI solutions on Google Cloud, primarily utilizing Vertex AI and the Gemini models. It provides an extensive collection of sample code, Jupyter notebooks, and practical applications covering a wide spectrum of generative AI capabilities. From getting started with Gemini 3.1 Pro to advanced topics like Retrieval Augmented Generation (RAG), image generation with Imagen, and speech processing with Chirp, the project aims to equip users with the necessary tools and examples to build, deploy, and manage robust AI workflows efficiently within the Google Cloud ecosystem.

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