🚀 RAGify Presentation
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RAGify is a powerful **Retrieval-Augmented Generation (RAG)** application designed to enhance your ability to interact with and query **PDF documents**. This tool combines state-of-the-art natural language processing (NLP) techniques to allow users to ask context-aware questions about PDF files, with support for both **English/French** and **Arabic** languages.

The app leverages a combination of cutting-edge technologies, including:

- **Streamlit** for the front-end user interface
- **LangChain** for building the RAG pipeline
- **ChromaDB** for document embeddings and fast retrieval
- **Ollama** for running local LLMs (Language Models) on your machine

RAGify is designed for users who need a secure, privacy-preserving, and multilingual tool to extract information from PDFs easily.

Key Features
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- **Multilingual Support**: Queries and responses are supported in both **English** and **Arabic**.
- **Local LLMs**: All processing occurs on your local machine using **Ollama**, which ensures your data remains private.
- **Efficient Document Retrieval**: Uses **ChromaDB** to store and retrieve document embeddings quickly.
- **Intuitive User Interface**: Built with **Streamlit**, the app provides a simple and responsive interface for document querying.

.. note::

   - You can reach more details in the `GitHub repository`_.

.. _GitHub repository: https://github.com/ITSAIDI/RAGify