MIT License

项目介绍

mongodb-developer/GenAI-Showcase 是一个托管在 GitHub 上的开源项目,主要使用 Jupyter Notebook 编写,采用 MIT License 许可证,目前获得 4.3k 个 Star、744 次 Fork。

仓库全名
mongodb-developer/GenAI-Showcase
开源许可证
MIT License
Star 数
4.3k
Fork 数
744
未关闭 Issue
18

README 摘要

MongoDB's GenAI Showcase Welcome to MongoDB's Generative AI Showcase Repository! Whether you are just starting out on your Generative AI journey, or looking to build advanced GenAI applications, we've got you covered. This repository has an exhaustive list of examples and sample applications that cover Retrieval-Augmented Generation (RAG), AI Agents, and industry-specific use cases. Discover how MongoDB integrates…

完整内容见 GitHub 原始 README 或本页 。

常见问题

GenAI-Showcase 用什么语言开发?

主要使用 Jupyter Notebook 编写,采用 MIT License 许可证,目前有 4.3k 个 Star。

GenAI-Showcase 可以免费商用吗?

仓库采用 MIT License 许可证,可免费使用与修改,商业使用请遵守许可证条款(例如保留版权声明与许可声明)。

如何获取 GenAI-Showcase 的源码?

可以直接克隆仓库:git clone https://github.com/mongodb-developer/GenAI-Showcase.git;安装与运行步骤见仓库 README。

GenAI-Showcase 最近还在维护吗?

仓库最近一次更新为 2 天前,当前有 18 个未关闭 Issue;Star 数为 4.3k,可作为社区活跃度的参考。

关于

GitHub 原始描述(英文)

MongoDB's Generative AI Showcase: an exhaustive collection of examples and sample applications covering Retrieval-Augmented Generation (RAG), AI agents, and industry-specific use cases.

描述取自 GitHub 官方 API,保持仓库作者书写的原文。

简要分析

热度分
5842
价值分
2790
活跃状态
活跃

语言占比

CSS
Dockerfile
HCL
HTML
Java
JavaScript
Jupyter Notebook
Python
Shell
TypeScript

README

MongoDB’s GenAI Showcase

Welcome to MongoDB’s Generative AI Showcase Repository!

Whether you are just starting out on your Generative AI journey, or looking to build advanced GenAI applications, we’ve got you covered. This repository has an exhaustive list of examples and sample applications that cover Retrieval-Augmented Generation (RAG), AI Agents, and industry-specific use cases.

Discover how MongoDB integrates into RAG pipelines and AI Agents, serving as a vector database, operational database, and memory provider.

Contents

This repo mainly contains:

Folder Description
notebooks Jupyter notebooks examples for RAG, agentic applications, evaluations etc.
apps Javascript and Python apps and demos
workshops Self-paced hands-on workshops
partners Contributions from our AI partners

Getting Started

You will need to connect to a MongoDB cluster to run any of the apps or examples in this repo. Follow these steps to get set up:

Contributing

We welcome contributions! Please read our Contribution Guidelines for more information on how to participate.

License

This project is licensed under the MIT License.

Getting Support

As you work through these examples, if you encounter any problems, please open a new issue.

Additional Resources

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