{"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":17726,"forks":4463,"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":"2026-09-17T18:52:57+00:00","maintenance_label":"Very active","stars_delta_30d":132,"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":90,"watchers":284,"ai_summary":"This repository provides notebooks, code samples, and resources for using, developing, and managing generative AI workflows with Google Cloud's Generative AI and Agent Platform.","readme_excerpt":"# Generative AI on Google Cloud\n\n> The latest Gemini models are available! Try out [Gemini 3.8 Flash](https://github.com/GoogleCloudPlatform/generative-ai/blob/main/gemini/getting-started/intro_gemini_3_8_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\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n
Description
\n \"Gemini\"\n
\n gemini/\n 		\n Discover Gemini through starter notebooks, use cases, function calling, sample apps, and more.\n
\n \"Search\"\n
\n search/\n 		Use this folder if you're interested in using Agent Search, 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).
\n \"RAG\n
\n rag-grounding/\n 		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.
\n \"Vision\"\n
\n vision/\n 		\n Use this folder if you're interested in building your own solutions from scratch using features from Imagen and Veo.\n
\n \"Speech\"\n
\n audio/\n 		\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
\n \"Setup\n
\n setup-env/\n 		Instructions on how to set up Google Cloud, the Gen AI Python SDK, and notebook environments on Google Colab and Workbench.
\n \"Resources\"\n
\n RESOURCES.md\n 		Learning resources (e.g. blogs, YouTube playlists) about Generative AI on Google Cloud.
\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":"2026-09-20T04:33:28.82042+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":"developer-tools","name":"Developer Tools","url":"https://www.graphcanon.com/categories/developer-tools","markdown_url":"https://www.graphcanon.com/categories/developer-tools.md","api_url":"https://www.graphcanon.com/api/graphcanon/categories/developer-tools"},{"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":"2026-09-18T08:48:05.982Z","maintenance":{"label":"Very active","score":96,"methodology":"github_public_v1","releases_90d":0,"days_since_push":0,"last_release_at":null,"stars_delta_30d":132,"open_issues_delta_30d":3},"security_summary":{"status":"no_lockfile","scanner":null,"low_count":0,"high_count":0,"last_scan_at":"2026-09-18T08:48:08.211Z","medium_count":0,"scan_profile":"none","critical_count":0}},"capability_facts":{"scan":{"source":"repo_scan","observed_at":"2026-09-18T08:48:04.893Z"},"languages":{"value":["jupyter notebook"],"source":"github.language","observed_at":"2026-09-18T08:48:04.893Z"},"license_spdx":{"value":"Apache-2.0","source":"github.license","observed_at":"2026-09-18T08:48:04.893Z"}},"decision_facts":{"hosting":null,"pricing":null,"requirements":null,"constraints":null,"when_to_use":["When you need to leverage the latest Gemini models, such as Gemini 3.8 Flash, for generative AI tasks on Google Cloud.","If you are interested in building AI agents using the Gemini Enterprise Agent Platform, the latest evolution of Vertex AI.","For developers who want to use Google-managed solutions like Agent Search to build search engines for websites and enterprise data.","When you require resources for Retrieval Augmented Generation (RAG) and Grounding, with a focus on integrating generative AI with retrieval systems."],"when_not_to_use":["If you are looking for a platform that supports a wide range of cloud providers beyond Google Cloud.","When your project does not require the specific features of the Gemini models or the Gemini Enterprise Agent Platform.","If your project does not benefit from Google-managed solutions like Agent Search and you prefer to build everything from scratch.","When you do not need the integration capabilities with Google Cloud services such as Vertex AI and the Gemini Enterprise Agent Platform."],"source":"enrich:decision_facts","observed_at":"2026-09-18T10:20:05.812Z"},"constraint_facets":null,"decision_summary":[{"label":"Adopt for","value":"The 'generative-ai' repository offers sample code and notebooks for developing and managing generative AI workflows with Google Cloud's Generative AI and Gemini Enterprise Agent Platform."}]}}