https://github.com/anshu10101/ai-powered-multi-pdf-chatbot
The Multi-PDF Chat AI Agent is a Streamlit app that lets users interact with multiple PDFs using AI. It extracts text, processes queries, and delivers accurate responses powered by Google Gemini Pro and FAISS for efficient document-based Q&A.
https://github.com/anshu10101/ai-powered-multi-pdf-chatbot
faiss google-gemini-ai langchain python-dotenv streamlit
Last synced: over 1 year ago
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The Multi-PDF Chat AI Agent is a Streamlit app that lets users interact with multiple PDFs using AI. It extracts text, processes queries, and delivers accurate responses powered by Google Gemini Pro and FAISS for efficient document-based Q&A.
- Host: GitHub
- URL: https://github.com/anshu10101/ai-powered-multi-pdf-chatbot
- Owner: Anshu10101
- License: mit
- Created: 2025-01-31T06:19:17.000Z (over 1 year ago)
- Default Branch: master
- Last Pushed: 2025-01-31T06:25:04.000Z (over 1 year ago)
- Last Synced: 2025-01-31T07:25:20.296Z (over 1 year ago)
- Topics: faiss, google-gemini-ai, langchain, python-dotenv, streamlit
- Language: Python
- Homepage:
- Size: 7.48 MB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
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README
# 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:
------------
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.
---
## 🌟 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.
---
## ▶️ Installation Guide
1. **Clone the repository:**
```bash
git clone https://github.com/AnshulGitHub/Multi-PDFs_ChatApp_AI-Agent.git
```
2. **Install dependencies:**
```bash
pip install -r requirements.txt
```
3. **Set up API keys:**
- Get your **Google API Key** from [Makersuite](https://makersuite.google.com/app/apikey)
- Create a `.env` file in the project root and add:
```bash
GOOGLE_API_KEY=
```
4. **Run the Streamlit app:**
```bash
streamlit run app.py
```
---
## 💡 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.