generative-ai

Sample code and notebooks for Generative AI on Google Cloud, with Gemini on Vertex AI

21 articles 14.7k View on GitHub ↗
21 articles
Where to Find generative-ai Repository Documentation: A Complete Guide to GoogleCloudPlatform/generative-ai

Find all generative ai repository documentation easily. This guide shows you where to locate README files within the GoogleCloudPlatform/generative-ai repository for Gemini, Genkit, and Agents.

getting-started
Mar 9, 2026
Cost Implications of Using the generative-ai-gcp Services: A Complete Pricing and Optimization Guide

Understand generative-ai-gcp costs with our guide. Learn about pay-as-you-go pricing and optimization strategies for Google Cloud AI services. Leverage free trial credits to explore.

pricing-and-optimization-guide
Mar 9, 2026
How to Monitor and Manage AI Models Deployed via Generative-AI-GCP

Effectively monitor and manage generative AI models deployed with generative-ai-gcp. Learn to use vapo_lib.py, GcpEvaluation, and Vertex AI for robust AI model oversight.

how-to-guide
Mar 9, 2026
How to Deploy a Model on Vertex AI Using the generative-ai Repository Examples

Deploy a model on Vertex AI using generative-ai examples. Learn to initialize the SDK, upload artifacts, create endpoints, and deploy your model quickly.

how-to-guide
Mar 9, 2026
Gemini API Examples in Google Cloud: Navigating the generative-ai Repository

Find Gemini API examples in the GoogleCloudPlatform/generative-ai repository. Explore workshops, gemini, and open-models folders for practical applications.

tutorial
Mar 9, 2026
How to Integrate Google's Generative Models Using the generative-ai-gcp Directory

Integrate Google's generative models using the generative-ai-gcp directory. Learn to build prompts, batch process data, and evaluate outputs with Vertex AI API.

how-to-guide
Mar 9, 2026
Key Components in the generative-ai-gcp Directory for Building AI Solutions on Google Cloud

Explore the generative-ai-gcp directory to discover Vertex AI SDK helpers, search infra, model serving, and fine-tuning for building AI solutions on Google Cloud.

architecture
Mar 9, 2026
What Is the generative-ai-gcp Directory? Purpose and Structure Explained

Explore the generative-ai-gcp directory's purpose: provisioning Google Cloud Platform resources for Generative AI samples. Learn about its IaC modules and deployment automation.

documentation
Mar 9, 2026
LLM Demos for Multiple Providers in the Google Cloud Generative AI Repository

Explore LLM demos for OpenAI, Anthropic Claude, and vLLM in Google Cloud's generative AI repository. Find production-ready code examples across multiple directories for seamless integration.

deep-dive
Mar 9, 2026
Google Cloud Services Required for the LLM Demos in the generative-ai Repository

Discover the essential Google Cloud services like Vertex AI, Cloud Run, and Cloud Storage needed to run LLM demos from the generative-ai repository. Get started today.

how-to-guide
Mar 9, 2026
How to Run Google Cloud LLM Demos Locally: Vertex AI Search and RAG Examples

Run Google Cloud LLM demos locally like Vertex AI Search and RAG. Clone the repo, install dependencies, authenticate, and start the server for hands-on generative AI examples.

how-to-guide
Mar 9, 2026
RAG Examples in the Google Cloud Generative AI Repository: LLM-Demos Directory Explained

Explore Retrieval Augmented Generation RAG examples within the GoogleCloudPlatform/generative-ai repository. Discover RAG implementations in rag-ops and qa-ops directories.

tutorial
Mar 9, 2026

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