💬 AskDocs AI

From documents to decisions — powered by AI, secured locally.

🔍 What is AskDocs AI?

AskDocs AI is a early stage startup comprising a powerful and private document question-answering app powered by LLaMA 2 and LangChain. Upload your PDF, DOCX, or TXT files, and ask intelligent questions. All data is processed locally to maintain maximum privacy.

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🎯 Features

• 📄 Supports PDF, DOCX, and TXT files
• 🧠 Local LLaMA 2 model inference (no cloud dependencies)
• 🔍 Intelligent search & similarity-based retrieval
• 📦 Built with Streamlit for an interactive UI
• 🖼️ Custom dark-themed background support
• 🧵 Efficient multi-threaded document parsing

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🚀 Getting Started

📦 Prerequisites

• Python 3.9+
• Download the LLaMA 2 model from HERE!

📁 Folder Structure

project_root/
├── gen_ai.py                           # Streamlit application  
├── images/
│   └── freepik__adjust__9850.jpeg
│   └── 767.jpg
├── faiss_index/                        # Generated vector store  (auto-created)
├── evaluation_logs/                    # Generated json file  (auto-created)  
├── documents/
│   ├── empty.txt
│   ├── sample_doc.docx
│   ├── Advanced_Facts_Octopus.pdf  
│   └── sample_txt.txt
└── requirements.txt  

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🧰 Installation

# Clone the repo
git clone https://github.com/yourusername/AskDocs_GEN-AI.git
cd AskDocs_GEN-AI

# (Optional) Create a virtual environment
python -m venv venv
source venv/bin/activate  # On Windows: venv\Scripts\activate

# Install dependencies
pip install -r requirements.txt

🧠 Usage

# Run
streamlit run app.py

1. Upload one or more PDF, DOCX, or TXT documents.
2. Click Start The Fun!
3. Ask your question in natural language.
4. Get answers with cited document sources.

📦 Dependencies

• streamlit
• PyMuPDF
• python-docx
• docx2txt
• requests
• numpy
• langchain
• sentence-transformers
• nltk
• rouge-score
• ctransformers
• faiss-cpu
• huggingface-hub

📎 Notes

• You need to download and manually place the LLaMA model.
• Ensure GPU support is configured if needed (set gpu_layers accordingly).
• Image background is customizable — make sure the image path is valid.