{"data":{"slug":"googlecloudplatform-generative-ai","name":"generative-ai","tagline":"Sample code and notebooks for Generative AI on Google Cloud, with Gemini Enterprise Agent Platform","github_url":"https://github.com/GoogleCloudPlatform/generative-ai","owner":"GoogleCloudPlatform","repo":"generative-ai","owner_avatar_url":"https://avatars.githubusercontent.com/u/2810941?v=4","primary_language":"Jupyter Notebook","stars":17594,"forks":4412,"topics":["agents","gcp","gemini","gemini-api","gen-ai","generative-ai","google","google-cloud","google-gemini","langchain","large-language-models","llm","vertex-ai","vertex-ai-gemini-api","vertexai"],"archived":false,"github_pushed_at":"2026-08-15T14:38:29+00:00","maintenance_label":"Very active","stars_delta_30d":247,"url":"https://www.graphcanon.com/tools/googlecloudplatform-generative-ai","markdown_url":"https://www.graphcanon.com/tools/googlecloudplatform-generative-ai.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/googlecloudplatform-generative-ai","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=googlecloudplatform-generative-ai","description":"Sample code and notebooks for Generative AI on Google Cloud, with Gemini Enterprise Agent Platform","homepage_url":"https://docs.cloud.google.com/gemini-enterprise-agent-platform/","license":"Apache-2.0","open_issues":87,"watchers":280,"ai_summary":"This repository provides notebooks, code samples, sample apps, and other resources to use, develop, and manage generative AI workflows using the Gemini Enterprise Agent Platform.","readme_excerpt":"# Generative AI on Google Cloud\n\n> The latest Gemini models are available! Try out [Gemini 3.7 Flash](https://github.com/GoogleCloudPlatform/generative-ai/blob/main/gemini/getting-started/intro_gemini_3_7_flash.ipynb).\n>\n> **[Gemini Enterprise Agent Platform](https://docs.cloud.google.com/gemini-enterprise-agent-platform)**, the latest evolution of Vertex AI, has been released!\n>\n> 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.\n\n\n\nThis 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).\n\n## Intro Video\n\n\n\n<table>\n  <tr>\n    <th></th>\n    <th style=\"text-align: center;\">Description</th>\n  </tr>\n  <tr>\n    <td>\n      <img src=\"https://storage.googleapis.com/github-repo/img/gemini/Spark__Gradient_Alpha_100px.gif\" width=\"45px\" alt=\"Gemini\">\n      <br>\n      <a href=\"gemini/\"><code>gemini/</code></a>\n    </td>\n    <td>\n      Discover Gemini through starter notebooks, use cases, function calling, sample apps, and more.\n    </td>\n  </tr>\n  <tr>\n    <td>\n      <img src=\"https://www.gstatic.com/images/branding/gcpiconscolors/service_discovery/v1/24px.svg\" width=\"40px\" alt=\"Search\">\n      <br>\n      <a href=\"search/\"><code>search/</code></a>\n    </td>\n    <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>\n  </tr>\n  <tr>\n    <td>\n      <img src=\"https://fonts.gstatic.com/s/i/short-term/release/googlesymbols/nature_people/default/40px.svg\" alt=\"RAG Grounding\">\n      <br>\n      <a href=\"rag-grounding/\"><code>rag-grounding/</code></a>\n    </td>\n    <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>\n  </tr>\n  <tr>\n    <td>\n      <img src=\"https://fonts.gstatic.com/s/i/short-term/release/googlesymbols/image/default/40px.svg\" alt=\"Vision\">\n      <br>\n      <a href=\"vision/\"><code>vision/</code></a>\n    </td>\n    <td>\n      Use this folder if you're interested in building your own solutions from scratch using features from Imagen and Veo.\n    </td>\n  </tr>\n  <tr>\n    <td>\n      <img src=\"https://fonts.gstatic.com/s/i/short-term/release/googlesymbols/mic/default/40px.svg\" alt=\"Speech\">\n      <br>\n      <a href=\"audio/\"><code>audio/</code></a>\n    </td>\n    <td>\n      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).\n    </td>\n  </tr>\n  <tr>\n    <td>\n      <img src=\"https://fonts.gstatic.com/s/i/short-term/release/googlesymbols/build/default/40px.svg\" alt=\"Setup Env\">\n      <br>\n      <a href=\"setup-env/\"><code>setup-env/</code></a>\n    </td>\n    <td>Instructions on how to set up Google Cloud, the Gen AI Python SDK, and notebook environments on Google Colab and Workbench.</td>\n  </tr>\n  <tr>\n    <td>\n      <img src=\"https://fonts.gstatic.com/s/i/short-term/release/googlesymbols/media_link/default/40px.svg\" alt=\"Resources\">\n      <br>\n      <a href=\"RESOURCES.md\"><code>RESOURCES.md</code></a>\n    </td>\n    <td>Learning resources (e.g. blogs, YouTube playlists) about Generative AI on Google Cloud.</td>\n  </tr>\n</table>\n\n\n## Related Repositories\n\n- ✨ [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 c","github_created_at":"2023-05-05T12:31:07+00:00","created_at":"2026-07-07T17:33:31.081794+00:00","updated_at":"2026-08-17T00:02:16.730935+00:00","categories":[{"slug":"ai-agents","name":"AI Agents","url":"https://www.graphcanon.com/categories/ai-agents","markdown_url":"https://www.graphcanon.com/categories/ai-agents.md","api_url":"https://www.graphcanon.com/api/graphcanon/categories/ai-agents"},{"slug":"data-retrieval","name":"Data & Retrieval","url":"https://www.graphcanon.com/categories/data-retrieval","markdown_url":"https://www.graphcanon.com/categories/data-retrieval.md","api_url":"https://www.graphcanon.com/api/graphcanon/categories/data-retrieval"},{"slug":"inference-serving","name":"Inference & Serving","url":"https://www.graphcanon.com/categories/inference-serving","markdown_url":"https://www.graphcanon.com/categories/inference-serving.md","api_url":"https://www.graphcanon.com/api/graphcanon/categories/inference-serving"},{"slug":"model-training","name":"Model Training","url":"https://www.graphcanon.com/categories/model-training","markdown_url":"https://www.graphcanon.com/categories/model-training.md","api_url":"https://www.graphcanon.com/api/graphcanon/categories/model-training"}],"tags":[{"slug":"agents","name":"agents"},{"slug":"gcp","name":"gcp"},{"slug":"gemini","name":"gemini"},{"slug":"gemini-api","name":"gemini-api"},{"slug":"gen-ai","name":"gen-ai"},{"slug":"generative-ai","name":"generative-ai"},{"slug":"google","name":"google"},{"slug":"google-cloud","name":"google-cloud"}],"trust":{"provenance":{"is_fork":false,"github_id":636693030,"owner_type":"Organization","methodology":"github_public_v1","parent_repo":null,"near_duplicate_slugs":[]},"computed_at":"2026-08-17T00:02:15.968Z","maintenance":{"label":"Very active","score":96,"methodology":"github_public_v1","releases_90d":0,"days_since_push":1,"last_release_at":null,"stars_delta_30d":247,"open_issues_delta_30d":5},"security_summary":{"status":"no_lockfile","scanner":null,"low_count":0,"high_count":0,"last_scan_at":"2026-07-11T11:01:14.965Z","medium_count":0,"scan_profile":"none","critical_count":0}},"capability_facts":{"scan":{"source":"repo_scan","observed_at":"2026-08-17T00:02:16.438Z"},"languages":{"value":["jupyter notebook"],"source":"github.language","observed_at":"2026-08-17T00:02:16.438Z"},"license_spdx":{"value":"Apache-2.0","source":"github.license","observed_at":"2026-08-17T00:02:16.438Z"}},"decision_facts":{"hosting":null,"pricing":null,"requirements":{"notes":["This tool requires setting up environments using the provided setup instructions that involve Google Colab or Workbench to ensure compatibility with Google's AI"]},"constraints":null,"when_to_use":["When you need end-to-end resources like sample code, notebooks, and apps tailored to Generative AI on Google Cloud’s Gemini Enterprise Agent Platform.","If your project involves using Vertex AI for creating or leveraging large language models (LLMs) with integration into the Gemini Agent Platform.","For developers aiming to utilize Retrieval Augmented Generation (RAG), building vision-based solutions, or incorporating speech technologies like Chirp from Google’s USM through a managed ecosystem on"],"when_not_to_use":["If you are planning to work exclusively within a different cloud provider's ecosystem without the need for integration with Gemini Enterprise Agent Platform.","When your primary focus is not on Generative AI and instead on other specific ML applications where dedicated frameworks outside of Google Cloud’s offerings would be more aligned."],"source":"enrich:decision_facts","observed_at":"2026-07-11T14:40:40.441Z"},"constraint_facets":null,"decision_summary":[{"label":"Requirements","value":"This tool requires setting up environments using the provided setup instructions that involve Google Colab or Workbench to ensure compatibility with Google's AI"},{"label":"Adopt for","value":"Generative-ai offers comprehensive support for developing and managing generative AI workflows specifically within the Gemini Enterprise Agent Platform from Google Cloud."}]}}