| # PDF RAG Chatbot using Gemini AI |
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| This project allows users to upload PDF files and ask questions about the content using Gemini AI and Retrieval-Augmented Generation (RAG). |
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| ## Features |
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| - 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 |
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| ## Tech Stack |
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| - Streamlit |
| - LangChain |
| - Google Gemini API |
| - FAISS Vector Database |
| - Hugging Face Spaces |
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| ## Setup Instructions |
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| ### 1. Install Dependencies |
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| ```bash |
| pip install -r requirements.txt |
| ``` |
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| ### 2. Add API Key |
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| Create a `.env` file: |
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| ```env |
| GOOGLE_API_KEY=YOUR_API_KEY |
| ``` |
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| For Hugging Face Spaces: |
| - Go to Settings → Repository Secrets |
| - Add: |
| - Key: GOOGLE_API_KEY |
| - Value: Your Gemini API Key |
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| ### 3. Run Locally |
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| ```bash |
| streamlit run app.py |
| ``` |
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| ## Deployment |
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| Deploy easily on Hugging Face Spaces using Streamlit SDK. |
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| ## Author |
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| Built with ❤️ using Gemini AI + LangChain |
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