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.
See the codeWelcome 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.
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 |
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:
We welcome contributions! Please read our Contribution Guidelines for more information on how to participate.
This project is licensed under the MIT License.
As you work through these examples, if you encounter any problems, please open a new issue.
277 followers · starred Mar 2025
972 followers · starred Apr 2025
215 followers · starred Mar 2025
499 followers · starred Jul 2024
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.
See the codeWelcome 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.
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 |
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:
We welcome contributions! Please read our Contribution Guidelines for more information on how to participate.
This project is licensed under the MIT License.
As you work through these examples, if you encounter any problems, please open a new issue.
277 followers · starred Mar 2025
972 followers · starred Apr 2025
215 followers · starred Mar 2025
499 followers · starred Jul 2024
