# PDF RAG Chatbot using Gemini AI

This project allows users to upload PDF files and ask questions about the content using Gemini AI and Retrieval-Augmented Generation (RAG).

## Features

- Upload multiple PDFs
- Extract text from PDFs
- Chunk text intelligently
- Store embeddings using FAISS
- Ask questions from documents
- Powered by Google Gemini AI
- Deployable on Hugging Face Spaces

## Tech Stack

- Streamlit
- LangChain
- Google Gemini API
- FAISS Vector Database
- Hugging Face Spaces

## Setup Instructions

### 1. Install Dependencies

```bash
pip install -r requirements.txt
```

### 2. Add API Key

Create a `.env` file:

```env
GOOGLE_API_KEY=YOUR_API_KEY
```

For Hugging Face Spaces:
- Go to Settings → Repository Secrets
- Add:
  - Key: GOOGLE_API_KEY
  - Value: Your Gemini API Key

### 3. Run Locally

```bash
streamlit run app.py
```

## Deployment

Deploy easily on Hugging Face Spaces using Streamlit SDK.

## Author

Built with ❤️ using Gemini AI + LangChain