🧠 Google Cloud Gemini Cookbook
Welcome to the central hub for the Google Cloud Gemini Cookbook! This repository contains hands-on recipes and practical lessons designed to take your AI applications from idea to production using Google Cloud's cutting-edge models.
🛠️ Prerequisites
Before diving in, ensure your local environment has the following:
- A Google Cloud Platform account with Vertex AI APIs enabled.
- A working Python environment (Python >= 3.8).
- Installed gcloud CLI and configured Application Default Credentials (gcloud auth application-default login).
🧰 Tech Stack
- LLM SDK: Official Google GenAI SDK to orchestrate Gemini models.
- Frontend: Streamlit for rapid, interactive UI development.
- Deployment: Google Cloud Run for scalable, serverless application hosting.
📚 Available Lessons
- Lesson 01: 🚀 Build a
Hello Worldapp with Gemini, Streamlit & Google Cloud Run Take your Python code from a simple idea to a live serverless container web application in minutes. - Lesson 02: Deploy Your AI Chatbot to Google Cloud Run: Go Live! ☁️ Build a smart, interactive conversational assistant leveraging chat sessions with memory.
- Lesson 03: 🚀 Build Your First Context-aware Gemini Chatbot in Minutes: The Secret to Speed and Relevance! ⚡ Rapidly inject intelligence using In-Context Learning (ICL), System Instructions, and Context Caching.
- Lesson 04: 🔓 Unlock Enterprise AI: Grounding Gemini with RAG and Google Cloud Search 🚀 Combat hallucinations by dynamically augmenting Gemini with your private knowledge base.
- Lesson 05: Review - Five Takeaways to enhance your Gemini Apps Level up your AI builds with strategic takeaways on layered architectures, latency, cost optimization, and simplicity.
Happy building! Let's go beyond the basics and build outstanding generative AI experiences. 🚀