LlamaIndex And Google Gemini

• This repository provides a comprehensive guide on integrating LlamaIndex with Google Gemini to build an effective Retrieval-Augmented Generation (RAG) system for Question and Answer (Q&A) applications.

Libraries Used

• llama-index
• google-generativeai
• llama-index-llms-gemini
• pypdf
• python-dotenv
• IPython
• llama-index-embeddings-gemini

Installation

1. Prerequisites
   • Git
   • Command line familiarity
2. Clone the Repository: git clone https://github.com/NebeyouMusie/LlamaIndex-And-Google-Gemini.git
3. Create and Activate Virtual Environment (Recommended)
   • python -m venv venv
   • source venv/bin/activate for Mac and venv/bin/activate for Windows
4. Navigate to the projects directory cd ./LlamaIndex-And-Google-Gemini using your terminal
5. Install Libraries: pip install -r requirements.txt
6. Enter your GOOGLE_API_KEY in the .env.example file then change the file to .env. You can get your GOOGLE_API_KEY from here
7. run all cells found in the ./notebook/llamaindex_gemini.ipynb notebook

Collaboration

• Collaborations are welcomed ❤️

Acknowledgments

• I would like to thank Sunny Savita

Contact

• LinkedIn: Nebeyou Musie
• Gmail: nebeyoumusie@gmail.com
• Telegram: Nebeyou Musie