Multi-PDF Chatbot 🤖

Multi-PDF Chatbot is an advanced AI-powered document analysis tool using Google Gemini. It enables users to upload multiple PDFs, ask intelligent questions, and receive precise, context-aware responses through a user-friendly Streamlit interface. The application leverages semantic search and intelligent retrieval for comprehensive document interaction.

🚀 Key Features

The Multi-PDF Chatbot is an intelligent document interaction tool that allows users to:

• Intelligent Document Processing: Upload and analyze multiple PDFs simultaneously.
• Contextual AI Interaction: Ask precise questions and receive semantic search-driven responses.
• Advanced Search Intelligence: Leverage AI-powered deep document comprehension.
• Persistent Knowledge Management: Save, load, and track comprehensive chat histories.
• Seamless Session Continuity: Resume previous interactions with intelligent chat recovery.

📷 Chatbot Interface

User Input & Customization

Generated Response

🛠 Technical Specifications

• Frontend: Streamlit
• PDF Processing: PyPDF2
• AI Backend:
  • Google Generative AI (Gemini)
  • LangChain
• Vector Database: FAISS
• Embeddings: Google Generative AI Embeddings

⚙️ System Architecture

• Recursive text splitting for document processing
• Semantic similarity search
• Conversational question-answering chain
• Dynamic chat history management

📦 Getting Started

1. Clone the repository

git clone https://github.com/CodeWizardl/multi-pdf-chatbot.git
cd multi-pdf-chatbot

2. Install dependencies

pip install -r requirements.txt

3. Set up environment variables

• Create a .env file
• Add your Google API key: GOOGLE_API_KEY=your_api_key_here

4. Run the application

streamlit run app.py

5. Access the Application: Open your browser and navigate to http://localhost:8501 to start interacting with the chatbot.

⚙️ Challenges and Solutions

Document Processing

• Challenge: Handling large and diverse PDF documents
• Solution:
  • Recursive text splitting
  • Semantic embedding for accurate context retrieval

Chat History Management

• Challenge: Persistent storage of chat sessions
• Solution:
  • JSON-based chat history storage
  • Dynamic filename generation
  • Timestamp-based organization

📚 Conclusion

The Multi-PDF Chatbot represents an innovative solution for intelligent document interaction, leveraging cutting-edge AI technologies to transform how users engage with PDF content.

📄 License

This project is licensed under the MIT License.