GenAI Showcase
GenAI Cookbook
Expert Video Review by SEOGANT · March 2026
Distribution Score: 84/100 What is this? ⓘ
What is GenAI Showcase?
GenAI Cookbook (genai-showcase) is a practical collection of code examples, tutorials, and reference implementations demonstrating how to build generative AI applications using MongoDB Atlas as the operational data layer covering vector search for semantic retrieval, retrieval-augmented generation (RAG) pipeline construction, hybrid search combining vector and keyword matching, and multi-modal data storage for applications that work with text, images, and structured data together.
The cookbook examples span the full spectrum of GenAI application patterns: building a chatbot with conversation memory backed by MongoDB, implementing document Q&A with PDF ingestion and semantic chunking, creating recommendation systems with embedding-based similarity search, setting up multi-agent workflows where agents read from and write to MongoDB as shared state, and integrating with LangChain, LlamaIndex, and Hugging Face for the LLM and embedding components of the pipeline.
The repository is maintained by MongoDB and serves as both a learning resource and a starting-point template library for developers building production AI applications with MongoDB Atlas.
The examples use real data and demonstrate production considerations including embedding model selection, chunk size optimization, index configuration for query performance, and operational monitoring going beyond minimal proof-of-concept demos to patterns applicable in shipping applications.
All examples are open-source and runnable with a free MongoDB Atlas account.
Who is GenAI Showcase for?
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