Build Your Own AI Assistant and RAG Framework with Python – Download the Code & Try It Yourself!

Want to create your own AI assistant or experiment with Retrieval-Augmented Generation (RAG) in Python? Now you can! I’ve built a Python-based framework that makes it easy to set up an AI assistant and integrate RAG for more informed and context-aware responses. To help you get started, I’m sharing the full code along with a hands-on prompt you can try out right away.

What’s Included in the Repository?

• ✅ AI Assistant Code: A fully functional assistant using OpenAI’s GPT models.
• ✅ RAG Framework: Enhance AI responses with external knowledge retrieval.
• ✅ Setup Guide: Clear instructions to get everything running quickly.

Download the Code Here:

🔗 Get the Python AI Assistant & RAG Framework

How to Set It Up:

1. 1️⃣ Clone the repository:

git clone https://github.com/kscrimgeour22/RAG-Python.git

2. 2️⃣ Install dependencies:

pip install -r requirements.txt

3. 3️⃣ Start using and customizing your AI assistant!

Want to See RAG in Action?

For a deeper dive into how RAG works—including a financial analysis use case and a test prompt—you can check out this page:

🔗 Try a RAG Prompt & Learn More

This page provides a practical example of how RAG enhances AI-powered decision-making, particularly in financial analysis.

Get Started Today!

I’d love to hear how you use this framework! If you have any questions or want to share your experience, feel free to reach out.

🚀 Download, experiment, and take your AI assistant to the next level!