πŸš€ RAGify Presentation

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

  • 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.

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