GenAI-Showcase and GenerativeAI
These are complements—the MongoDB showcase provides production-ready GenAI patterns and cookbook recipes that developers would implement using the generative AI use cases and applications framework from the second repository.
About GenAI-Showcase
mongodb-developer/GenAI-Showcase
GenAI Cookbook
Provides hands-on examples and applications for building RAG systems and AI agents, with MongoDB serving as the vector store, operational database, and memory layer. Includes Jupyter notebooks, production-ready JavaScript/Python apps, and self-paced workshops covering evaluations and industry-specific use cases. Integrates with major GenAI frameworks and partners, with all examples runnable against MongoDB Atlas.
About GenerativeAI
mdipietro09/GenerativeAI
GenAI & LLM usecases and applications
Provides practical implementations of voice-enabled chatbots with Ollama, multi-agent systems for task automation, and retrieval-augmented generation (RAG) pipelines—all optimized to run locally on CPU without GPU requirements. Combines speech recognition, web search integration, and multimodal document processing to create production-ready GenAI applications. Each module includes documented examples with end-to-end architectures for conversational AI, autonomous agents, and knowledge-grounded LLM responses.
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