Mini-RAG

Implementation of Mini-RAG application based on Abu-Bakr Soliman's tutorial. Leveraging the principles outlined in the tutorial, this repo demonstrates the integration of retrieval-augmented generation (RAG) with a minimal setup, suitable for experimentation and further development.

Requirements

• python 3.8 or later

Install python using Miniconda

1. Download and install Miniconda
2. Create a new environment using the following command:

$ conda create -n Mini-RAG-App python=3.8

3. Activate the environment:

$ conda activate Mini-RAG-App

Installation

Install the required packages

$ pip install -r requirements.txt

Setup the environment variables

$ cp .env.example .env

set your environment variables in the '.env' file like 'OPENAI_API_KEY' value.

Run the FastAPI server

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

Run Docker Compose Services

$ cd docker
$ cp .env.example .env