Multi-PDFs ChatApp AI Agent 🤖

Meet MultiPDF Chat AI App! 🚀 Interact seamlessly with multiple PDFs using Langchain, Google Gemini Pro & FAISS Vector DB, all deployed effortlessly on Streamlit. Get instant, accurate responses powered by Google's advanced Gemini AI model. 📚💬 Enhance your PDF experience today! 🔥✨

📝 Description

The Multi-PDF Chat AI Agent is a Streamlit-based web application designed to enable interactive conversations with a chatbot. This application allows users to upload multiple PDF documents, extract text data, and utilize AI-powered responses based on the extracted content. It offers a smooth, intuitive experience for document-based Q&A.

📢 Demo App with Streamlit Cloud (Preview Only)

💻 Demo:

🎯 How It Works:

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The application follows these steps to process and answer your queries:

1. PDF Loading: Upload multiple PDFs, and the app extracts their textual content.
2. Text Chunking: The extracted text is divided into smaller chunks for efficient processing.
3. Language Model Processing: AI models convert these text chunks into meaningful embeddings.
4. Similarity Matching: User queries are compared with extracted data to find the best-matching segments.
5. AI-Powered Response Generation: The selected chunks are used by LLM models to generate accurate responses.

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🌟 Key Features

• Smart Text Chunking: Dynamic sliding-window chunking for optimal information retrieval.
• Multi-Document Q&A: Ask questions across multiple PDFs simultaneously.
• File Compatibility: Supports PDF and TXT files.
• AI Model Flexibility: Works with Google Gemini Pro, OpenAI GPT-3, Anthropic Claude, Llama2, and other open-source LLMs.
• Efficient Vector Search: Uses FAISS for fast similarity search and retrieval.
• User-Friendly UI: Built with Streamlit for a seamless user experience.

📌 Tech Stack

• Streamlit – Interactive web app framework.
• Google Gemini AI – AI-powered conversational model.
• LangChain – Natural Language Processing framework.
• PyPDF2 – PDF text extraction.
• FAISS – Efficient similarity search.
• Python-dotenv – Secure API key handling.

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▶️ Installation Guide

1. Clone the repository:

   git clone https://github.com/AnshulGitHub/Multi-PDFs_ChatApp_AI-Agent.git

2. Install dependencies:

   pip install -r requirements.txt

3. Set up API keys:
   • Get your Google API Key from Makersuite
   • Create a .env file in the project root and add:

     GOOGLE_API_KEY=<your-api-key-here>

4. Run the Streamlit app:

   streamlit run app.py

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💡 Usage Instructions

To interact with Multi-PDF Chat AI, follow these steps:

1. Upload multiple PDFs via the sidebar.
2. Click "Process" to extract text data.
3. Enter your queries in the chat input field.
4. The AI chatbot will provide relevant answers based on the uploaded documents.