RAG-MODEL

An interactive application that allows users to ask questions about the content of PDF documents they upload. The system utilizes a powerful language model to understand and answer user queries.

PDF Genie

Overview

Chat with PDFs is an interactive application that allows users to ask questions about the content of PDF documents they upload. The system utilizes a powerful language model to understand and answer user queries.

Key Features

1. Document Processing: Users can upload PDF documents.
2. Text Extraction: The system extracts text from the uploaded PDFs.
3. Chunking: The text is divided into manageable chunks for processing.
4. Question-Answering Model: A pre-trained language model, such as OpenAI's GPT-3 or Hugging Face's Instructor, is employed for answering user queries.
5. Vector Representation: The application creates vector representations of the text chunks.
6. Conversational Memory: The system retains a conversation history to provide context-aware responses.
7. User Interaction: Users can input questions, and the system generates responses based on the content of the PDFs.
8. User Interface: Streamlit is used to create an intuitive and user-friendly interface.
9. Deployment: The application is deployable, allowing users to access it through a web interface.

Technologies Used

• Python
• Streamlit
• PyPDF2 for PDF processing
• Sentence Transformers for embeddings
• OpenAI API or Hugging Face Hub for language model
• Faiss for vector indexing and retrieval

Instructions for Users

1. Upload PDF documents.
2. Ask questions related to the content of the PDFs.
3. Click "Process" to get real-time responses.

Note: Ensure that the OpenAI API key is set up or pass it as a named parameter when using OpenAIEmbeddings.

Getting Started

1. Clone the repository.
2. Install dependencies: pip install -r requirements.txt
3. Set up your OpenAI API key or other required credentials.
4. Run the application: streamlit run app.py