mongodb-developer/GenAI-Showcase resource

Health v2 · maintenance only

Flags: no_releases

Adoption not part of the score

4260 stars · 745 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded

MongoDB's official showcase repository of Jupyter notebooks, sample apps, and workshops demonstrating Retrieval-Augmented Generation (RAG), AI agents, and industry-specific GenAI use cases. It shows how MongoDB Atlas serves as a vector database, operational store, and memory provider in GenAI pipelines.

Use cases

• build a RAG pipeline with MongoDB Atlas vector search
• learn how to add memory to AI agents
• find example code for chatbots over my own documents
• evaluate LLM applications with notebooks
• get started with generative AI using MongoDB
• see industry-specific GenAI application examples
• run self-paced workshops on AI agents and RAG

When to choose

• you use or plan to use MongoDB Atlas and want GenAI examples
• you want hands-on notebooks and workshops for RAG and agents
• you need reference sample apps combining vector search with LLMs

When to avoid

• you need a production-ready framework rather than examples
• you don't want a MongoDB dependency
• you need a self-contained vector database solution

Facets

learning-resource · maturity active

rag agent-framework vector-database llm-inference machine-learning artificial-intelligence large-language-models databases tutorials python jvm jupyter-notebooks sample-applications mongodb-atlas generative-ai workshops vector-search retrieval-augmented-generation ai-agents nodejs

Member repositories

For agents

markdown · JSON · MCP: product_card(name="mongodb-developer/GenAI-Showcase")