[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"project-9812":3},{"id":4,"name":5,"fullName":6,"owner":7,"repo":5,"description":8,"homepage":9,"htmlUrl":10,"language":11,"languages":10,"totalLinesOfCode":10,"stars":12,"forks":13,"watchers":14,"openIssues":15,"contributorsCount":16,"subscribersCount":16,"size":16,"stars1d":16,"stars7d":16,"stars30d":17,"stars90d":16,"forks30d":16,"starsTrendScore":16,"compositeScore":18,"rankGlobal":10,"rankLanguage":10,"license":19,"archived":20,"fork":20,"defaultBranch":21,"hasWiki":22,"hasPages":20,"topics":23,"createdAt":10,"pushedAt":10,"updatedAt":29,"readmeContent":30,"aiSummary":31,"trendingCount":16,"starSnapshotCount":16,"syncStatus":32,"lastSyncTime":33,"discoverSource":34},9812,"GenAI-Showcase","mongodb-developer\u002FGenAI-Showcase","mongodb-developer","GenAI Cookbook","https:\u002F\u002Fwww.mongodb.com\u002Fcloud\u002Fatlas\u002Fregister",null,"Jupyter Notebook",4230,739,89,6,0,13,61.91,"MIT License",false,"main",true,[24,25,26,27,28],"agents","artificial-intelligence","generative-ai","llms","rag","2026-06-12 04:00:46","## MongoDB's GenAI Showcase\n\nWelcome to MongoDB's Generative AI Showcase Repository!\n\nWhether 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.\n\nDiscover how MongoDB integrates into RAG pipelines and AI Agents, serving as a vector database, operational database, and memory provider.\n\n## Contents\n\nThis repo mainly contains:\n\n| Folder | Description |\n|--------|-------------|\n| [`notebooks`](notebooks\u002FREADME.md) | Jupyter notebooks examples for RAG, agentic applications, evaluations etc. |\n| [`apps`](apps\u002FREADME.md) | Javascript and Python apps and demos |\n| [`workshops`](workshops\u002FREADME.md) | Self-paced hands-on workshops |\n| [`partners`](partners\u002FREADME.md) | Contributions from our AI partners |\n\n## Getting Started\n\nYou 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:\n\n* Register for a [free MongoDB Atlas account](https:\u002F\u002Fwww.mongodb.com\u002Fcloud\u002Fatlas\u002Fregister)\n* [Create a new database cluster](https:\u002F\u002Fwww.mongodb.com\u002Fdocs\u002Fguides\u002Fatlas\u002Fcluster\u002F)\n* [Obtain the connection string](https:\u002F\u002Fwww.mongodb.com\u002Fdocs\u002Fguides\u002Fatlas\u002Fconnection-string\u002F) for your database cluster\n\n## Contributing\n\nWe welcome contributions! Please read our [Contribution Guidelines](CONTRIBUTING.md) for more information on how to participate.\n\n## License\n\nThis project is licensed under the [MIT License](LICENSE).\n\n## Getting Support\n\nAs you work through these examples, if you encounter any problems, please [open a new issue](https:\u002F\u002Fgithub.com\u002Fmongodb-developer\u002FGenAI-Showcase\u002Fissues\u002Fnew).\n\n## Additional Resources\n\n* [AI Learning Hub](https:\u002F\u002Fwww.mongodb.com\u002Fresources\u002Fuse-cases\u002Fartificial-intelligence?utm_campaign=ai_learning_hub&utm_source=github&utm_medium=referral)\n* [GenAI Community Forum](https:\u002F\u002Fwww.mongodb.com\u002Fcommunity\u002Fforums\u002Fc\u002Fgenerative-ai\u002F162)\n* [Tutorials and code examples from our official docs](https:\u002F\u002Fgithub.com\u002Fmongodb\u002Fdocs-notebooks)\n","MongoDB的GenAI Showcase项目提供了一系列生成式人工智能（Generative AI）的应用示例和教程，旨在帮助开发者从入门到构建高级应用。该项目通过Jupyter Notebook展示了如何将MongoDB集成到检索增强生成（RAG）流程、AI代理等场景中，利用其作为向量数据库、操作型数据库及记忆提供者的能力。适用于需要在实际业务中应用生成式AI技术，如客户服务自动化、内容生成等领域的企业和个人开发者。",2,"2026-06-11 03:24:51","top_topic"]