Retrieval-Augmented Generation (RAG)

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• Supervisor: Masrour Tawfik

• Realized by: MAALOUF Imad

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link to github repository: link

In this article, I will explain the concept of Retrieval-Augmented Generation (RAG), providing numerous examples and discussing the advantages of using RAG models. RAG effectively combines the capabilities of retrieval systems and generative models to create more informed and contextually relevant outputs. Let’s dive into RAG in detail. To illustrate the application of RAG, I will demonstrate how it can be implemented in a Streamlit application. Here, we can build an interactive interface that showcases the differences between various language models

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Introduction

• Introduction

Implimentation

• What is Retrieval-Augmented Generation (RAG)?
• Step-by-Step Breakdown:
  • 1. Libraries and Tools Required:
  • 2. Streamlit Application Structure
  • 3. UI Components
  • 4. Back-End Processing
  • 5. Explanation of Code
  • 6. Document Processing
  • 7. The RAG Models
  • 8. Chain Functions (How the Actions Work)
  • 9. Background Processing
  • 10. Displaying Results
  • 11. Summary of Each Part
  • 12. Differences Between Models
  • 13. Conclusion
• Python Code Explanation
  • process_pdf.py
    • load_and_split_pdfs Function
    • Save_processing_results Function
  • question_handler.py
    • get_question_answer_chain Function
    • answer_question Function
  • summarizer.py
    • get_summary_chain Function
    • summarize_document Function
  • translator.py
    • get_translation_chain Function
    • translate_text Function
  • Document Processing and Question Answering Application
    • 1. UI Components
    • 2. Model Selection
    • 3. PDF Upload and Processing
    • 4. Task Execution
    • 5. Displaying Results
    • Summary

Installation and Guide

• Installation Instructions
• Step-by-Step Guide for Using the Application

Guide of Application

• Overview of the Application
• Main Features
• Example of question and answer

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link to github repository: link

'

• Supervisor: Masrour Tawfik

• Realized by: MAALOUF Imad

'