# Generative AI on Google Cloud

A collection of notebooks, code samples and sample applications showing how to build and manage generative AI workflows on Google Cloud, covering the Gemini models, retrieval-augmented generation, search, vision and audio.

This repository holds notebooks, code samples and sample applications demonstrating how to use, develop and manage generative AI workflows on Google Cloud with the Gemini Enterprise Agent Platform, the evolution of Vertex AI.

Content is organized by topic: starter notebooks, use cases and sample apps for the Gemini models; Agent Search, a managed way to build search engines over websites and enterprise data; retrieval-augmented generation and grounding; building custom solutions with the Imagen and Veo vision models; audio solutions using the Chirp speech model; and environment setup for Google Cloud and the Gen AI Python SDK.

Related repositories referenced from the project include ready-to-use Agent Development Kit samples, a starter pack of production-ready agent templates, and infrastructure-as-code blueprints for deploying generative AI infrastructure on Google Cloud.

Website: https://docs.cloud.google.com/gemini-enterprise-agent-platform/