GoogleCloudPlatform/applied-ai-engineering-samples

This repository compiles code samples and notebooks demonstrating how to use Generative AI on Google Cloud Vertex AI.

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Covers foundation models, evaluation frameworks, RAG/grounding techniques, and agentic AI patterns across Vertex AI, with specialized content for Gemini prompting, GenAI evaluation services, and Vertex AI Search integration. The repository also includes AI/ML infrastructure blueprints for large-scale workloads and operationalization guides for research models from Google DeepMind. Supporting tools like RAG Playground enable hands-on experimentation with retrieval methods and LLMs using LangChain integration.

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Jupyter Notebook

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Apache-2.0

Last pushed

Jan 06, 2026

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