SuperAPI AI Directory

generative-ai

Sample code and notebooks for Generative AI on Google Cloud

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About this tool

Purpose

This repository is a collection of generative AI sample code and notebooks provided by Google Cloud Platform, used to demonstrate the use, development, and management of generative AI workflows on Google Cloud, and involves the Gemini Enterprise Agent Platform. The official description states that the repository itself is not an officially supported Google product and that the code is for demonstration purposes only.

Main capabilities and contents

The repository contains notebooks, code samples, sample applications, and other resources. The official page lists the following related content:

  • The latest Gemini models are available, and it mentions that you can try Gemini 4 Argon.
  • Related repositories include: Agent Development Kit (ADK) Samples, which provides ready-to-use agents built with ADK, covering common use cases from simple chatbots to complex multi-agent workflows; Agent Starter Pack, which provides production-ready generative AI agent templates for Google Cloud, designed to accelerate development and address common challenges such as deployment and operations, evaluation, customization, and observability.
  • Gemini Cookbook.
  • genai-factory: a collection of end-to-end blueprints for deploying generative AI infrastructure on GCP using IaC and following security best practices.
  • Google Cloud Applied AI Engineering.
  • Vertex AI GenMedia Creative Studio: experience Google's generative media foundation models and custom workflows.
  • MCP Servers for GenMedia: provide generative media tools for agents.
  • Google Cloud generative AI for marketing.
  • Generative AI for developer productivity.
  • Vertex AI related samples: Vertex AI Core, Vertex AI Samples, MLOps with Vertex AI, developing NLP solutions with T5X and Vertex AI, AlphaFold batch inference with Vertex AI Pipelines, serving Spark ML models with Vertex AI, and for Vertex AI generative models (PaLM2) sensitive data protection (Cloud DLP).
  • Conversational AI: Contact Center AI Samples, Reimagining Customer Experience 360.
  • Document AI: Document AI Samples.
  • Gemini in Google Cloud: Cymbal Superstore.
  • Cloud Databases: Gen AI Databases Retrieval App.
  • Other related projects: ai-on-gke, ai-infra-cluster-provisioning, solutions-genai-llm-workshop, terraform-genai-doc-summarization, terraform-genai-knowledge-base, genai-product-catalog, solutionbuilder-terraform-genai-doc-summarization, solutions-viai-edge-provisioning-configuration, mis-ai-accelerator, dataflow-opinion-analysis, genai-beyond-basics, Gemini by Example.

Usage

The repository welcomes contributions, and the official recommendation is to see the Contributing Guide. To provide suggestions, feedback, or submit bug reports, please use the issues page. The repository provides a Code of conduct and Security policy file. For specific code samples, installation commands, and usage steps, the page does not provide further details.

Applicable scenarios

It is suitable for developers who want to understand or practice building generative AI workflows on Google Cloud, covering areas such as agent development, generative media, NLP, MLOps, document processing, contact centers, marketing, and developer productivity.

Limitations

The official description clearly states that the repository itself is not an officially supported Google product and that the code is for demonstration purposes only. Other features, charges, pricing, platform, effects, or usage stepsand other facts are not yet provided.