Ask Your PDFs

Introduction

Ask-your-PDFs is a Python application that leverages Retrieval-Augmented Generation (RAG) using LangChain. This application enables users to interactively ask questions about the content of PDF documents and receive informative responses generated based on the retrieved information.

Architecture

Demo

Application Demo

This demo is using open source model (not OpenAI API) and hosted on the free basic CPU machine. So expect below things-

1. Slow processing time
2. Inaccurate results (since the model is not capable to generate chatgpt like outputs)

Features

• Retrieval-Augmented Generation: Utilizes the power of RAG to enhance the generation of responses by retrieving relevant information from PDF documents.

• Interactive Questioning (Chat UI): Users can ask questions in natural language, and the application will provide detailed and contextually relevant answers. Previous questions in the same session will also be visible

• Multiple PDFs support : You can upload one or more files and ask questions on them collectively

• Open Source LLM support : The demo link above is using the open source LLM for generating the answer

Getting Started

Follow these steps to get started with Ask-your-PDFs:

1. Clone the Repository:

   git clone https://github.com/akarshrajsingh7/Ask-Your-PDFs.git
   cd Ask-Your-PDFs

2. Install Dependencies:

   pip install -r requirements.txt

3. Run the Application:

   streamlit run app.py

   The application will prompt you to input the path to the PDF document you want to query.

4. Ask Questions: Once the document is loaded, you can start asking questions in a chat UI with memory of chats in the same session. The application will provide responses based on both generation and retrieval techniques.

Contributing

We welcome contributions from the community! If you find issues or have ideas for improvements, please open an issue or submit a pull request.

License

This project is licensed under the MIT License.