GenAI-Showcase and genai-cookbook

These are competing resources that both provide recipe-based guides for building generative AI applications, with the MongoDB project being significantly more established and comprehensive.

GenAI-Showcase
63
Established
genai-cookbook
48
Emerging
Maintenance 13/25
Adoption 10/25
Maturity 16/25
Community 24/25
Maintenance 0/25
Adoption 10/25
Maturity 16/25
Community 22/25
Stars: 4,223
Forks: 723
Downloads:
Commits (30d): 2
Language: Jupyter Notebook
License: MIT
Stars: 232
Forks: 50
Downloads:
Commits (30d): 0
Language: Jupyter Notebook
License: Apache-2.0
No Package No Dependents
Stale 6m No Package No Dependents

About GenAI-Showcase

mongodb-developer/GenAI-Showcase

GenAI Cookbook

This repository helps developers and data scientists build advanced Generative AI applications using MongoDB. It provides practical examples and sample applications for integrating MongoDB as a vector database, operational database, and memory provider into workflows like Retrieval-Augmented Generation (RAG) and AI Agents. You'll find Jupyter notebooks, Javascript and Python apps, and self-paced workshops to guide your development.

Generative AI development AI application building Vector databases RAG pipelines AI agents

About genai-cookbook

dmatrix/genai-cookbook

A mixture of Gen AI cookbook recipes for Gen AI applications.

This is a collection of practical guides and code examples for anyone looking to build applications using Generative AI. It helps you understand how to use large language models (LLMs) to create new content, improve productivity, and build interactive AI tools. You'll learn how to input natural language instructions and get back generated text, audio, images, or video. This is ideal for developers, data scientists, and engineers who are new to GenAI and want to quickly grasp its capabilities and implementation.

Generative-AI-development NLP-application-building LLM-prompt-engineering AI-chatbot-creation Machine-learning-engineering

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