Generative AI Use Cases Repository

Introduction

Welcome to the Generative AI Use Cases Repository! This repository is dedicated to showcasing a wide range of applications in generative AI, including Retrieval-Augmented Generation (RAG), AI Agents, and industry-specific use cases. It also provides practical notebooks and guidance on utilizing frameworks such as LlamaIndex and LangChain, and demonstrates how to integrate models from leading AI research companies like Anthropic and OpenAI.

Table of Contents

• Introduction
• Getting Started
• Use Cases
  • RAG
• Notebooks
  • Evaluations
  • RAG
• Tools
• Frameworks and Models
• Contributing
• License
• Contact

Getting Started

Before diving into the use cases, ensure you have the necessary environment set up:

1. Clone the repository: git clone https://github.com/your-username/GenAI-Showcase.git
2. Install dependencies: pip install -r requirements.txt

Use Cases

RAG

Details on Retrieval-Augmented Generation (RAG) and its applications.

Notebooks

Interactive Jupyter notebooks providing hands-on experience:

Evaluations

• Angle Embeddings Evaluation
• OpenAI Embeddings Evaluation
• VoyageAI Embeddings Evaluation

RAG Notebooks

Title	Stack	Colab	Article
How to Build a RAG System Using Claude 3 Opus and MongoDB	MongoDB, Anthropic, Python
How to Build a RAG System with the POLM AI Stack	POLM (Python, OpenAI, LlamaIndex, MongoDB)
MongoDB LangChain Cache Memory Python Example	POLM (Python, OpenAI, LangChain, MongoDB)
MongoDB LangChain Cache Memory JavaScript Example	JavaScript, OpenAI, LangChain, MongoDB
Naive RAG Implementation Example	POLM (Python, OpenAI, LlamaIndex, MongoDB)
OpenAI Text Embedding Example	Python, MongoDB, OpenAI
RAG with Hugging Face and MongoDB Example	Hugging Face, Gemma, MongoDB

Tools

Useful tools and utilities for working with generative AI models:

• Embeddings Generator: A set of scripts for generating and manipulating embeddings.

Frameworks and Models

Explore the utilization of various AI models and frameworks across different notebooks provided.

Contributing

We welcome contributions! Please read our Contribution Guidelines for more information on how to participate.

License

This project is licensed under the MIT License.

Contact

Feel free to reach out for any queries or suggestions:

• Email: [email protected]

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Last updated: [28th March 2024]