Generative AI AI Agent by GoogleCloudPlatform

Generative AI on Google Cloud

The latest Gemini models are available! Try out Gemini 4 Hydrogen and Gemini 4 Carbon.

<!-- markdownlint-disable MD033 -->

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 with 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> <!-- markdownlint-enable MD033 -->

Related Repositories

• ✨ Agent Development Kit (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
  • A collection of production-ready Generative AI Agent templates built for Google Cloud.
  • It accelerates development by providing a holistic, production-ready solution, addressing common challenges (Deployment & Operations, Evaluation, Customization, Observability) in building and deploying Gen AI agents.
• Gemini Cookbook
• genai-factory - A collection of end-to-end infrastructure blueprints to deploy generative AI infrastructures in GCP, using IaC and following security best-practices.
• Google Cloud Applied AI Engineering
• Vertex AI GenMedia Creative Studio - Experience Google's generative media foundational models + custom workflows.
• MCP Servers for GenMedia - Empower your agents with generative media tools.
• Generative AI for Marketing using Google Cloud
• Generative AI for Developer Productivity
• 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 using Vertex AI
  • Sensitive Data Protection (Cloud DLP) for Vertex AI Generative Models (PaLM2)
• 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
  • 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

Contributing

Contributions welcome! See the Contributing Guide.

Getting help

Please use the issues page to provide suggestions, feedback or submit a bug report.

Disclaimer

This repository itself is not an officially supported Google product. The code in this repository is for demonstrative purposes only.