Notes Querier

NotesQuerier is a fully local assistant that helps you turn your study notes into an interactive Q&A tool.

This project allows you to upload your notes in PDF format and ask questions about the content. The system uses natural language processing and retrieval-based question answering to help you study efficiently.

Features

• PDF Upload: Easily upload your notes in PDF.
• Question Answering: Ask questions and get concise answers.
• Interactive Interface: Simple, user-friendly web interface using Gradio.

Tech Stack

• LangChain: For LLM Orchestration.
• Gradio: For the interactive user interface.
• Ollama: For running models locally.
• FAISS: For fast and efficient document retrieval.
• PyMuPDF: For processing and extracting text from PDFs.

Setup

1. Clone the Repository

   git clone https://github.com/SwekeR-463/Notes-Querier.git
   cd notes-querier

2. Create a Virtual Environment

   python -m venv venv
   source venv/bin/activate  # On Windows: venv\Scripts\activate

3. Install Dependencies

   pip install -r requirements.txt

4. Install Ollama

   • Windows: Download and install from Ollama's website.

   • macOS: Install via Homebrew:

     brew install ollama/tap/ollama

5. Pull Required Models

   ollama pull nomic-embed-text
   ollama pull gemma2:2b

   Feel free to use any model you like based upon your system.

Usage

1. Run the Application

   python rag.py

2. Interact with the Interface

   • Upload your notes in PDF.
   • Ask your questions and get answers.