Generative AI on Google Cloud

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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

	Description
gemini/	Discover Gemini through starter notebooks, use cases, function calling, sample apps, and more.
search/	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).
rag-grounding/	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.
vision/	Use this folder if you're interested in building your own solutions from scratch using features from Imagen and Veo.
audio/	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).
setup-env/	Instructions on how to set up Google Cloud, the Gen AI Python SDK, and notebook environments on Google Colab and Workbench.
RESOURCES.md	Learning resources (e.g. blogs, YouTube playlists) about Generative AI on Google Cloud.

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.