lrag 1.0.3

Neural Retrieval-Augmented Generation for GitHub code blocks

LLM Retrieval Augmented Generation

_{short alias lrag}

The original version of the NN RAG project was created by Waleed Khalid at the Computer Vision Laboratory, University of Würzburg, Germany.

Overview 📖

A minimal Retrieval-Augmented Generation (RAG) pipeline for code and dataset details.
This project aims to provide LLMs with additional context from the internet or local repos, then optionally fine-tune the LLM for specific tasks.

Requirements

• Python 3.8+ recommended
• Pip or Conda for installing dependencies
• (Optional) GPU with CUDA if you plan to do large-scale training

Installing Dependencies

1. Create and activate a virtual environment (recommended):

   python -m venv venv
   source venv/bin/activate   # Linux/Mac
   venv\Scripts\activate      # Windows
   

2. Latest Development Version

Install the latest version directly from GitHub:

pip install git+https://github.com/ABrain-One/nn-rag --upgrade