PaperPal: AI-Powered Contract Navigator

PaperPal is a web application designed to help users navigate, review, and analyze PDF documents such as contracts using AI. The app uses retrieval-augmented generation (RAG) for question-answering tasks, leveraging Langchain, FAISS, and Google Generative AI to provide detailed insights from uploaded PDFs.

Features

• Upload and analyze multiple PDF contracts
• AI-powered question answering based on document content
• Risk review of uploaded contracts
• Conversation history-aware retrieval and QA

Technologies

• Langchain
• FAISS
• Google Generative AI
• Streamlit

Usage Examples

Setup

Prerequisites

Ensure you have the following installed:

• Python
• Streamlit (for running the web app)
• FAISS (for vector search)

Installation

1. Clone the repository:

   git clone https://github.com/your-username/paperpal.git
   cd paperpal

2. Create a virtual environment and activate it

   python3 -m venv .venv
   ource venv/bin/activate  # On Windows: venv\Scripts\activate

3. Install required dependencies

   pip install -r requirements.txt

4. Set up your environment variables by creating a .env file in the root directory:

   GOOGLE_API_KEY=your_google_api_key

Running the App

Once you have installed all dependencies and configured your environment:

1. Start the streamlit app

   streamlit run app.py

2. The app will be available at http://localhost:8501/