🧠 DocuMind LLM — Intelligent Document Q&A Assistant

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DocuMind LLM is a Generative AI-powered document assistant built with Hugging Face Transformers, FAISS, and LangChain.
It allows users to upload PDF files, intelligently index their contents, and ask natural language questions about the document.

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🚀 Features

• 📄 PDF Upload & Parsing — Extracts text and chunks it for semantic understanding.
• 🤖 LLM-powered Q&A — Uses a Transformer model (e.g., mistralai/Mixtral, google/flan-t5, etc.) to answer questions.
• ⚡ FAISS-based Vector Search — Enables fast and accurate document retrieval.
• 💬 Conversational Memory — Keeps track of your recent queries for context-aware responses.
• 🧩 Modular Architecture — Easy to extend with other models, vector stores, or APIs.

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🧰 Tech Stack

Component	Technology
Embeddings	Hugging Face Sentence Transformers
Vector Store	FAISS
LLM	Hugging Face Transformers
Interface	Streamlit / Flask
Backend	Python 3.10+

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⚙️ Installation

git clone https://github.com/ramarav/DocuMind-LLM.git
cd DocuMind-LLM
pip install -r requirements.txt

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🧠 Usage

1️⃣ Start the App

python app.py

2️⃣ Upload a PDF file

Choose any .pdf document you want to query.

3️⃣ Ask Questions

Type natural language questions like:

“What are the main topics covered in this document?”
“Summarize section 3.”
“What are the key takeaways?”

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📚 Example Use Cases

• Research paper summarization
• Legal contract question answering
• Technical documentation assistant
• Corporate report analysis
• AI-based knowledge discovery

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🧑‍💻 Folder Structure

DocuMind-LLM/
│
├── app.py                # Main entry point
├── utils/                # Helper scripts
│   ├── pdf_loader.py
│   ├── embedder.py
│   ├── vector_store.py
│   └── qa_engine.py
├── sample.pdf            # Example document
├── requirements.txt
└── README.md

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🪄 Future Enhancements

• Add chat history memory using LangChain.
• Integrate OpenAI API for comparison.
• Enable multi-file document search.
• Add semantic summarization features.

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🏆 Credits

Developed by Mekala Ramarao
💼 AMD India | AI/ML Engineer
🔗 LinkedIn • GitHub

📜 License

This project is licensed under the MIT License.