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Generative AI is a comprehensive collection of code samples, notebooks, and demo applications designed to help developers build generative-AI workflows on the Vertex AI platform. It spans multiple modalities—text, image, audio, search (RAG/grounding) and more—showing how to integrate foundation models like the Gemini family into cloud projects. The README emphasises getting started with prompts, datasets, environments and sample apps, making it ideal for both experimentation and production-ready usage. The repository architecture is organised into folders like gemini/, search/, vision/, audio/, and rag-grounding/, which helps developers locate use cases by modality. It is licensed under Apache-2.0, opensourced and maintained by Google, meaning it's designed with enterprise-grade practices in mind. Overall, it serves as a practical entry point and reference library for building real-world generative AI systems on Google Cloud.
Features
- Ready-to-run notebooks demonstrating multimodal generative AI workflows
- Modular folder structure organising by use case (text, vision, audio, search)
- Integration with Vertex AI and Google Cloud managed services
- Sample code for customizing foundation models (fine-tuning, function calling, grounding)
- Best-practice guidance for setup, environment, and deployment
- Open-source license (Apache 2.0) and community contributions enabled
Project Samples
