samkamau81/literature_rag

Literature_RAG

Literature_RAG is a powerful tool designed to assist researchers, students, and enthusiasts in understanding and summarizing research literature. By leveraging Retrieval Augmented Generation (RAG), this tool integrates the strengths of retrieval-based and generation-based models to provide concise and relevant summaries of complex research papers.

Table of Contents

1. Introduction
2. Features
3. Installation
4. Usage
5. Examples
6. Stack of Use
7. Contributing
8. License

1.Introduction

Reading and comprehending research papers can be a daunting task, especially for newcomers. Literature_RAG aims to simplify this process by using advanced AI techniques to generate easy-to-understand summaries and insights from research papers. The core of this tool is the Retrieval Augmented Generation model, which combines the efficiency of information retrieval systems with the generative capabilities of state-of-the-art language models.

2.Features

• Efficient Retrieval: Quickly find relevant sections and information from large datasets of research papers.
• Accurate Summarization: Generate concise and accurate summaries of complex research topics.
• Interactive Interface: User-friendly interface for seamless interaction and usage.
• Customizable Settings: Adjust retrieval and generation parameters to suit specific needs.

3.Installation

To install and set up Literature_RAG, follow these steps: