#206 · Primary category: Education & Research
GenAI-Showcase
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
GitHub Stars
4.3K
Forks
745
Contributors
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.
Articles for this project
No articles for this project yet.
To suggest a topic or contribute an article, contact us.
Related projects in this category
prompts.chat
f.k.a. Awesome ChatGPT Prompts. Share, discover, and collect prompts from the community. Free and open source — self-host for your organization with complete privacy.
JavaGuide
Java Interview & Backend General Interview Guide, covering computer fundamentals, databases, distributed systems, high concurrency, system design, and AI application development.
system-prompts-and-models-of-ai-tools
A curated collection of system prompts, internal tools, and AI models from popular AI assistants and coding agents.
30-seconds-of-code
Coding articles to level up your development skills
generative-ai-for-beginners
21 Lessons, Get Started Building with Generative AI