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Getting Started

1. Create a new folder where you want this repository.

Create a new folder from file explorer or mkdir new_folder and cd new_folder .
Open the folder in a IDE of your choice such as VSCode.

2. Clone the repository locally.

git clone https://github.com/apoorvasj/ai-driven-rag.git

3. Create and activate a virtual environment

Create the virtual environment.
python -m venv myenv
Activate the environment.
myenv/Scripts/activate

4. Install dependencies

Navigate into your folder.
cd ai-driven-rag
Install dependencies.
pip install -r requirements.txt

5. Set environment variables.

This project requires you to create two environment variables for LLM and embedding access.
Create a .env file.
GROQ_API_KEY="your key" COHERE_API_KEY = "your key" To create both the API keys, visit
  • Groq
  • Cohere

    6. Your code is ready to run!

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    a notebook for AI-driven RAG or Retrieval Augmented Generation

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