Python LangChain OpenAI Maintenance

CoverBot is an intelligent chatbot powered by Large Language Models (LLM) and Retrieval-Augmented Generation (RAG) that helps users analyze documents and extract meaningful insights through natural conversation.

1. The user uploads a cover letter or other type of document which needs to be analyzed
2. CoverBot retrieves text data and gets ready to answer all important questions which the user is interested in document
3. Interactive conversation helps users understand their documents better

• 📄 Document Upload & Analysis
• 💬 Natural Language Q&A
• 🔍 Smart Context Retrieval
• 🎯 Focused Document Insights
• ⚡ Real-time Response Generation

• LLM Integration: LangChain
• Vector Database: Pinecone
• Language Model: Gemini
• Backend/Frontend: Streamlit
• Document Processing: PyPDF2

• Python 3.8+
• pip (Python package installer)
• Git
• Virtual environment (recommended)

git clone https://github.com/yourusername/coverbot.git
cd coverbot

# For Windows
virtualenv .venv
source .venv\Scripts\activate
# For macOS/Linux
virtualenv .venv
source .\venv\bin\activate

# Core dependencies
pip install -r requirements.txt
# In a new terminal, start the frontend
streamlit run frontend/app.py

3. Port Already in Use

# Kill process using port 8000
lsof -i :8000
kill -9 <PID>

• 🔘 Interactive buttons with recommended questions for faster workflow
• 📱 Mobile-Responsive UI
• 🔄 Batch Processing
• 📊 Analytics Dashboard
• 🔐 User Authentication

• 📝 Cover Letter Analysis
• 📄 Resume Screening
• 📑 Document Summarization
• ❓ FAQ Generation
• 📈 Content Analysis

We welcome contributions! Please follow these steps:

1. Fork the repository
2. Create your feature branch (git checkout -b feature/AmazingFeature)
3. Commit your changes (git commit -m 'Add some AmazingFeature')
4. Push to the branch (git push origin feature/AmazingFeature)
5. Open a Pull Request

• Creator: Edgar Abasov
• Email: edgarabasov1@gmail.com
• LinkedIn: www.linkedin.com/in/edgar-abasov/