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GenAI Cookbook

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run-llama/mongo-genai-showcase

 
 

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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:

  • Jupyter notebooks examples for RAG, agentic applications, evaluations etc. undernotebooks.
  • Javascipt and Python apps and demos underapps.
  • Contributions from our AI partners underpartners.

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 ourContribution Guidelines for more information on how to participate.

License

This project is licensed under theMIT License.

Getting Support

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

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  • Jupyter Notebook95.4%
  • TypeScript3.7%
  • Python0.5%
  • JavaScript0.1%
  • CSS0.1%
  • HTML0.1%
  • Other0.1%

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