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<!-- WEHUB_ZH_README -->
> [!NOTE]
> 本文档由 WeHub 基于上游 README 翻译整理,属于社区翻译,非官方中文文档。
> [English](./README.en.md) · [原始项目](https://github.com/GoogleCloudPlatform/generative-ai) · [上游 README](https://github.com/GoogleCloudPlatform/generative-ai/blob/HEAD/README.md)
> 原作者、版权与许可证归属以原始项目及本仓库 LICENSE 文件为准。
# Google Cloud 上的生成式 AI
> **[Gemini Enterprise Agent Platform](https://docs.cloud.google.com/gemini-enterprise-agent-platform)**, Vertex AI 的最新演进版本,现已发布!
>
> 请查看 [`Google-Cloud-AI/agent-platform`](https://goo.gle/agent-platform-github) 仓库,获取在 Google Cloud 上构建智能体(agent)的精选资源列表。
<!-- markdownlint-disable MD033 -->
本仓库包含笔记本、代码示例、示例应用及其他资源,演示如何使用、开发和管理基于 [Generative AI](https://cloud.google.com/ai/generative-ai) 与 [Agent Platform](https://docs.cloud.google.com/gemini-enterprise-agent-platform). 的生成式 AI 工作流。
## 介绍视频
[![什么是 Gemini Enterprise Agent Platform](https://img.youtube.com/vi/j8qW5poBkEU/maxresdefault.jpg)](https://goo.gle/agent-platform-video)
<table>
<tr>
<th></th>
<th style="text-align: center;">描述</th>
</tr>
<tr>
<td>
<img src="https://storage.googleapis.com/github-repo/img/gemini/Spark__Gradient_Alpha_100px.gif" width="45px" alt="Gemini">
<br>
<a href="gemini/"><code>gemini/</code></a>
</td>
<td>
通过入门笔记本、用例、函数调用(function calling)、示例应用等探索 Gemini。
</td>
</tr>
<tr>
<td>
<img src="https://www.gstatic.com/images/branding/gcpiconscolors/service_discovery/v1/24px.svg" width="40px" alt="Search">
<br>
<a href="search/"><code>search/</code></a>
</td>
<td>若你希望对网站及企业数据快速构建搜索引擎,可使用 <a href="https://cloud.google.com/enterprise-search">Agent Search</a>——一项由 Google 托管的解决方案。(此前称为 Enterprise Search on Generative AI App Builder)。</td>
</tr>
<tr>
<td>
<img src="https://fonts.gstatic.com/s/i/short-term/release/googlesymbols/nature_people/default/40px.svg" alt="RAG Grounding">
<br>
<a href="rag-grounding/"><code>rag-grounding/</code></a>
</td>
<td>若你需要检索增强生成(Retrieval Augmented GenerationRAG)与 Grounding 相关资料,请使用本目录。这是聚焦该主题、分布于其他目录中的笔记本与示例的索引。</td>
</tr>
<tr>
<td>
<img src="https://fonts.gstatic.com/s/i/short-term/release/googlesymbols/image/default/40px.svg" alt="Vision">
<br>
<a href="vision/"><code>vision/</code></a>
</td>
<td>
若你希望利用 Imagen 与 Veo 的功能从零开始构建自己的解决方案,请使用本目录。
</td>
</tr>
<tr>
<td>
<img src="https://fonts.gstatic.com/s/i/short-term/release/googlesymbols/mic/default/40px.svg" alt="Speech">
<br>
<a href="audio/"><code>audio/</code></a>
</td>
<td>
若你希望利用 ChirpGoogle Universal Speech ModelUSM 的一个版本)的功能从零开始构建自己的解决方案,请使用本目录。
</td>
</tr>
<tr>
<td>
<img src="https://fonts.gstatic.com/s/i/short-term/release/googlesymbols/build/default/40px.svg" alt="Setup Env">
<br>
<a href="setup-env/"><code>setup-env/</code></a>
</td>
<td>介绍如何在 Google Colab 与 Workbench 上设置 Google Cloud、Gen AI Python SDK 及笔记本环境。</td>
</tr>
<tr>
<td>
<img src="https://fonts.gstatic.com/s/i/short-term/release/googlesymbols/media_link/default/40px.svg" alt="Resources">
<br>
<a href="RESOURCES.md"><code>RESOURCES.md</code></a>
</td>
<td>关于 Google Cloud 生成式 AI 的学习资源(如博客、YouTube 播放列表)。</td>
</tr>
</table>
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## 相关仓库
- ✨ [Agent Development Kit (ADK) Samples](https://github.com/google/adk-samples): 本仓库提供基于 Agent Development Kit 构建的即用型智能体,旨在加速你的开发流程。这些智能体涵盖从简单对话机器人到复杂多智能体工作流等多种常见用例与复杂度。
- [🚀 Agent Starter Pack](https://github.com/GoogleCloudPlatform/agent-starter-pack)
- 面向 Google Cloud 构建、可用于生产环境的生成式 AI 智能体模板集合。
- 通过提供全面的生产就绪解决方案,加速开发,并解决构建与部署 Gen AI 智能体时的常见挑战(部署与运维、评估、定制、可观测性)。
- [Gemini Cookbook](https://github.com/google-gemini/cookbook/)
- [genai-factory](https://github.com/googleCloudPlatform/genai-factory) - 一系列端到端基础设施蓝图,使用 IaC 并遵循安全最佳实践,在 GCP 上部署生成式 AI 基础设施。
- [Google Cloud Applied AI Engineering](https://github.com/GoogleCloudPlatform/applied-ai-engineering-samples)
- [Vertex AI GenMedia Creative Studio](https://github.com/GoogleCloudPlatform/vertex-ai-creative-studio) - 体验 Google 的生成式媒体基础模型与自定义工作流。
- [MCP Servers for GenMedia](https://goo.gle/vertex-genmedia-mcp) - 为你的智能体赋能生成式媒体工具。
- [Generative AI for Marketing using Google Cloud](https://github.com/GoogleCloudPlatform/genai-for-marketing)
- [Generative AI for Developer Productivity](https://github.com/GoogleCloudPlatform/genai-for-developers)
- Vertex AI Core
- [Vertex AI Samples](https://github.com/GoogleCloudPlatform/vertex-ai-samples)
- [MLOps with Vertex AI](https://github.com/GoogleCloudPlatform/mlops-with-vertex-ai)
- [Developing NLP solutions with T5X and Vertex AI](https://github.com/GoogleCloudPlatform/t5x-on-vertex-ai)
- [AlphaFold batch inference with Vertex AI Pipelines](https://github.com/GoogleCloudPlatform/vertex-ai-alphafold-inference-pipeline)
- [Serving Spark ML models using Vertex AI](https://github.com/GoogleCloudPlatform/vertex-ai-spark-ml-serving)
- [Sensitive Data Protection (Cloud DLP) for Vertex AI Generative Models (PaLM2)](https://github.com/GoogleCloudPlatform/Sensitive-Data-Protection-for-Vertex-AI-PaLM2)
- Conversational AI
- [Contact Center AI Samples](https://github.com/GoogleCloudPlatform/contact-center-ai-samples)
- [Reimagining Customer Experience 360](https://github.com/GoogleCloudPlatform/dialogflow-ccai-omnichannel)
- Document AI
- [Document AI Samples](https://github.com/GoogleCloudPlatform/document-ai-samples)
- Gemini in Google Cloud
- [Cymbal Superstore](https://github.com/GoogleCloudPlatform/cymbal-superstore)
- Cloud Databases
- [Gen AI Databases Retrieval App](https://github.com/GoogleCloudPlatform/genai-databases-retrieval-app)
- Other
- [ai-on-gke](https://github.com/GoogleCloudPlatform/ai-on-gke)
- [ai-infra-cluster-provisioning](https://github.com/GoogleCloudPlatform/ai-infra-cluster-provisioning)
- [solutions-genai-llm-workshop](https://github.com/GoogleCloudPlatform/solutions-genai-llm-workshop)
- [terraform-genai-doc-summarization](https://github.com/GoogleCloudPlatform/terraform-genai-doc-summarization)
- [terraform-genai-knowledge-base](https://github.com/GoogleCloudPlatform/terraform-genai-knowledge-base)
- [genai-product-catalog](https://github.com/GoogleCloudPlatform/genai-product-catalog)
- [solutionbuilder-terraform-genai-doc-summarization](https://github.com/GoogleCloudPlatform/solutionbuilder-terraform-genai-doc-summarization)
- [solutions-viai-edge-provisioning-configuration](https://github.com/GoogleCloudPlatform/solutions-viai-edge-provisioning-configuration)
- [mis-ai-accelerator](https://github.com/GoogleCloudPlatform/mis-ai-accelerator)
- [dataflow-opinion-analysis](https://github.com/GoogleCloudPlatform/dataflow-opinion-analysis)
- [genai-beyond-basics](https://github.com/meteatamel/genai-beyond-basics)
- [Gemini by Example](https://geminibyexample.com)
## 贡献
欢迎贡献!请参阅 [贡献指南](https://github.com/GoogleCloudPlatform/generative-ai/blob/main/CONTRIBUTING.md).
## 获取帮助
请使用 [issues page](https://github.com/GoogleCloudPlatform/generative-ai/issues) 提供建议、反馈或提交错误报告。
## 免责声明
本仓库本身并非 Google 官方支持的产品。本仓库中的代码仅供演示之用。