📄 ASK-MY-PDF

ASk MY PDF is a powerful Streamlit-based application designed to simplify document management. Upload your PDF documents, create embeddings for efficient retrieval, and interact with your documents through an intelligent chatbot interface. 🚀

🛠️ Features

• 📂 Upload Documents: Easily upload and preview your PDF documents within the app.
• 🧠 Create Embeddings: Generate embeddings for your documents to enable efficient search and retrieval.
• 🤖 Chatbot Interface: Interact with your documents using a smart chatbot that leverages the created embeddings.
• 📧 Contact: Get in touch with the developer or contribute to the project on GitHub.
• 🌟 User-Friendly Interface: Enjoy a sleek and intuitive UI with emojis and responsive design for enhanced user experience.

🖥️ Tech Stack

The Document Buddy App leverages a combination of cutting-edge technologies to deliver a seamless and efficient user experience. Here's a breakdown of the technologies and tools used:

• LangChain: Utilized as the orchestration framework to manage the flow between different components, including embeddings creation, vector storage, and chatbot interactions.

• Unstructured: Employed for robust PDF processing, enabling the extraction and preprocessing of text from uploaded PDF documents.

• BGE Embeddings from HuggingFace: Used to generate high-quality embeddings for the processed documents, facilitating effective semantic search and retrieval.

• Qdrant: A vector database running locally via Docker, responsible for storing and managing the generated embeddings for fast and scalable retrieval.

• LLaMA 3.2 via Ollama: Integrated as the local language model to power the chatbot, providing intelligent and context-aware responses based on the document embeddings.

• Streamlit: The core framework for building the interactive web application, offering an intuitive interface for users to upload documents, create embeddings, and interact with the chatbot.

📁 Directory Structure

ASK-MY-PDF/

├── app.py
├── Attention Is All U Need.pdf
├── chatbot.py
│── logo.png
├── README.md
├── requirements.txt
├── vectors.py

Here’s the updated setup with Step 5 added for installing and running Ollama with Llama 3.2 on Windows. 🚀

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🚀 Getting Started

Follow these instructions to set up and run the Ask-My-Pdf App on your Windows machine.

1. Clone the Repository

git clone https://github.com/Ganesh2409/ASK-MY-PDF.git
cd ASK-MY-PDF

2. Create a Virtual Environment

Use Python’s venv for managing dependencies.

On Windows

python -m venv venv

Activate the virtual environment:

cd venv\Scripts\activate

3. Install Dependencies

pip install -r requirements.txt

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4. Running Qdrant in Docker

1️⃣ Install Docker: Download Docker

2️⃣ Pull & Run Qdrant

docker pull qdrant/qdrant
docker run -p 6333:6333 qdrant/qdrant

✅ Qdrant should now be running at http://localhost:6333

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5. Install Ollama and Run Llama 3.2

1️⃣ Download and Install Ollama
Download Ollama for Windows

2️⃣ Open Command Prompt and Pull Llama 3.2 Model

ollama pull llama3:3b

3️⃣ Run Llama 3.2 Locally

ollama run llama3:3b

✅ Llama 3.2 is now running and ready for processing!

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6. Run the Document Buddy App

streamlit run app.py

✅ Open the Streamlit web app in your browser.

This command will launch the app in your default web browser. If it doesn’t open automatically, navigate to the URL provided in the terminal (usually http://localhost:8501).

🤝 Contributing

Contributions are welcome! Whether it’s reporting a bug, suggesting a feature, or submitting a pull request, your input is highly appreciated. Follow these steps to contribute:

1. Fork the Repository: Click on the “Fork” button at the top-right corner of the repository page.
2. Clone Your Fork
3. Create a New Branch:

git checkout -b feature/YourFeatureName

4. Make Your Changes: Implement your feature or fix.
5. Commit Your Changes:

git commit -m "Add Your Feature Description"

6. Push to Your Fork:

git push origin feature/YourFeatureName

7. Create a Pull Request: Navigate to the original repository and create a pull request from your fork.

📫 Contact

• Email:ganeshchowdhary2409@gmail.com ✉️

Feel free to reach out for any queries, suggestions, or contributions. Your feedback is invaluable!

🔗 Useful Links

• Streamlit Documentation: https://docs.streamlit.io/

• LangChain Documentation: https://langchain.readthedocs.io/

• Qdrant Documentation: https://qdrant.tech/documentation/

• ChatOllama Documentation: https://github.com/ollama/ollama

© 2024 ASK-MY-PDF. Made with ❤️