This is a minimal implementation of the RAG model for question answering.

This is an educational project where all of the codes where explained (step by step) via a set of Arabic youtube videos. Please check the list:

• Python 3.8 or later

1. Download and install MiniConda from here
2. Create a new environment using the following command:

$ conda create -n mini-rag python=3.8

3. Activate the environment:

$ conda activate mini-rag

export PS1="\[\033[01;32m\]\u@\h:\w\n\[\033[00m\]\$ "

$ pip install -r requirements.txt

$ cp .env.example .env

Set your environment variables in the .env file. Like OPENAI_API_KEY value.

$ cd docker
$ cp .env.example .env

• update .env with your credentials

$ cd docker
$ sudo docker compose up -d

$ uvicorn main:app --reload --host 0.0.0.0 --port 5000

Download the POSTMAN collection from /assets/mini-rag-app.postman_collection.json