---
title: "generative-ai"
type: "tool"
slug: "googlecloudplatform-generative-ai"
canonical_url: "https://www.graphcanon.com/tools/googlecloudplatform-generative-ai"
github_url: "https://github.com/GoogleCloudPlatform/generative-ai"
homepage_url: "https://docs.cloud.google.com/gemini-enterprise-agent-platform/"
stars: 17200
forks: 4316
primary_language: "Jupyter Notebook"
license: "Apache-2.0"
categories: ["ai-agents", "speech-audio", "computer-vision", "data-retrieval"]
tags: ["agents", "google-cloud", "gemini", "gen-ai", "generative-ai", "gcp", "google", "google-gemini"]
updated_at: "2026-07-07T19:43:15.743508+00:00"
---

# generative-ai

> Sample code and notebooks for Generative AI on Google Cloud, with Gemini Enterprise Agent Platform

The repository contains resources to use, develop, and manage generative AI workflows using Gemini with the Agent Platform on Google Cloud.

## Facts

- Repository: https://github.com/GoogleCloudPlatform/generative-ai
- Homepage: https://docs.cloud.google.com/gemini-enterprise-agent-platform/
- Stars: 17,200 · Forks: 4,316 · Open issues: 73 · Watchers: 283
- Primary language: Jupyter Notebook
- License: Apache-2.0
- Last pushed: 2026-07-07T15:39:10+00:00

## Categories

- [AI Agents](/categories/ai-agents.md)
- [Speech & Audio](/categories/speech-audio.md)
- [Computer Vision](/categories/computer-vision.md)
- [Data & Retrieval](/categories/data-retrieval.md)

## Tags

agents, google-cloud, gemini, gen-ai, generative-ai, gcp, google, google-gemini

## Related tools

- [ECC](/tools/affaan-m-ecc.md) - The agent harness performance optimization system (★ 226,991)
- [hermes-agent](/tools/nousresearch-hermes-agent.md) - The self-improving AI agent built by Nous Research (★ 210,911)
- [AutoGPT](/tools/significant-gravitas-autogpt.md) - AutoGPT: Build, Deploy, and Run AI Agents (★ 185,420)
- [ollama](/tools/ollama-ollama.md) - Get up and running with Kimi-K2.6, GLM-5.1, MiniMax, DeepSeek, gpt-oss, Qwen, Gemma and other models. (★ 175,664)
- [transformers](/tools/huggingface-transformers.md) - 🤗 Transformers: the model-definition framework for state-of-the-art machine learning models (★ 162,350)
- [langflow](/tools/langflow-ai-langflow.md) - Langflow is a powerful platform for building and deploying AI-powered agents and workflows. (★ 151,311)
- [dify](/tools/langgenius-dify.md) - Production-ready platform for agentic workflow development (★ 148,074)
- [firecrawl](/tools/firecrawl-firecrawl.md) - The API to search, scrape, and interact with the web at scale. (★ 147,150)

## README (excerpt)

```text
# Generative AI on Google Cloud

> **[Gemini Enterprise Agent Platform](https://docs.cloud.google.com/gemini-enterprise-agent-platform)**, the latest evolution of Vertex AI, has been released!
>
> Check out the [`Google-Cloud-AI/agent-platform`](https://goo.gle/agent-platform-github) repository for a curated list of assets for agent building on Google Cloud.



This repository contains notebooks, code samples, sample apps, and other resources that demonstrate how to use, develop and manage generative AI workflows using [Generative AI](https://cloud.google.com/ai/generative-ai) with [Agent Platform](https://docs.cloud.google.com/gemini-enterprise-agent-platform).

## Intro Video



<table>
  <tr>
    <th></th>
    <th style="text-align: center;">Description</th>
  </tr>
  <tr>
    <td>
      <img src="https://storage.googleapis.com/github-repo/img/gemini/Spark__Gradient_Alpha_100px.gif" width="45px" alt="Gemini">
      <br>
      <a href="gemini/"><code>gemini/</code></a>
    </td>
    <td>
      Discover Gemini through starter notebooks, use cases, function calling, sample apps, and more.
    </td>
  </tr>
  <tr>
    <td>
      <img src="https://www.gstatic.com/images/branding/gcpiconscolors/service_discovery/v1/24px.svg" width="40px" alt="Search">
      <br>
      <a href="search/"><code>search/</code></a>
    </td>
    <td>Use this folder if you're interested in using <a href="https://cloud.google.com/enterprise-search">Agent Search</a>, a Google-managed solution to help you rapidly build search engines for websites and across enterprise data. (Formerly known as Enterprise Search on Generative AI App Builder).</td>
  </tr>
  <tr>
    <td>
      <img src="https://fonts.gstatic.com/s/i/short-term/release/googlesymbols/nature_people/default/40px.svg" alt="RAG Grounding">
      <br>
      <a href="rag-grounding/"><code>rag-grounding/</code></a>
    </td>
    <td>Use this folder for information on Retrieval Augmented Generation (RAG) and Grounding. This is an index of notebooks and samples across other directories focused on this topic.</td>
  </tr>
  <tr>
    <td>
      <img src="https://fonts.gstatic.com/s/i/short-term/release/googlesymbols/image/default/40px.svg" alt="Vision">
      <br>
      <a href="vision/"><code>vision/</code></a>
    </td>
    <td>
      Use this folder if you're interested in building your own solutions from scratch using features from Imagen and Veo.
    </td>
  </tr>
  <tr>
    <td>
      <img src="https://fonts.gstatic.com/s/i/short-term/release/googlesymbols/mic/default/40px.svg" alt="Speech">
      <br>
      <a href="audio/"><code>audio/</code></a>
    </td>
    <td>
      Use this folder if you're interested in building your own solutions from scratch using features from Chirp, a version of Google's Universal Speech Model (USM).
    </td>
  </tr>
  <tr>
    <td>
      <img src="https://fonts.gstatic.com/s/i/short-term/release/googlesymbols/build/default/40px.svg" alt="Setup Env">
      <br>
      <a href="setup-env/"><code>setup-env/</code></a>
    </td>
    <td>Instructions on how to set up Google Cloud, the Gen AI Python SDK, and notebook environments on Google Colab and Workbench.</td>
  </tr>
  <tr>
    <td>
      <img src="https://fonts.gstatic.com/s/i/short-term/release/googlesymbols/media_link/default/40px.svg" alt="Resources">
      <br>
      <a href="RESOURCES.md"><code>RESOURCES.md</code></a>
    </td>
    <td>Learning resources (e.g. blogs, YouTube playlists) about Generative AI on Google Cloud.</td>
  </tr>
</table>


## Related Repositories

- ✨ [Agent Development Kit (ADK) Samples](https://github.com/google/adk-samples): This repository provides ready-to-use agents built on top of the Agent Development Kit, designed to accelerate your development process. These agents cover a range of common use cases and complexities, from simple conversational bots to complex multi-agent workflows.
- [🚀 Agent Starter Pack](https://github.com/GoogleCloudPlatform/agent-starter-pack)
  - A collecti
```

---

**Machine-readable endpoints**

- JSON: [`/api/graphcanon/tools/googlecloudplatform-generative-ai`](/api/graphcanon/tools/googlecloudplatform-generative-ai)
- LLM index: [/llms.txt](/llms.txt)
- Full corpus: [/llms-full.txt](/llms-full.txt)

_GraphCanon - The knowledge graph for AI development. https://www.graphcanon.com/_