#206 · Primary category: Education & Research

GenAI-Showcase

agents artificial-intelligence atlas generative-ai jupyter-notebook llms mongodb python rag

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.

Project last updated:08/21/26

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4.3K

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745

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53

License

MIT

Why we included this project

Developers who want to use MongoDB as the data layer for a GenAI app will get more from this repo than from most tutorials. It collects Jupyter notebooks, Python and JavaScript sample apps, and self-paced workshops, all meant to be run against a live Atlas cluster. Each example shows a real integration, so you can read how a RAG pipeline queries a vector index or how an agent keeps conversation state, then adapt it to your own code. The notebooks also cover evaluation, a step many tutorials skip. Teams already on MongoDB can test whether it works as their vector store, operational database, and memory layer in one place, and newer builders get a guided path through the basics. Partner contributions add a useful second perspective beyond the core examples.

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