📄 DocuQuery

DocuQuery is a Streamlit-based document assistant that allows users to upload PDF documents, receive concise summaries, and interactively query the content using a Retrieval-Augmented Generation (RAG) pipeline powered by LangChain and Groq's LLMs.

🚀 Features

• 📤 Upload one or more PDF files
• 🧠 Summarize content using LLM (LLaMA3 via Groq)
• 💬 Ask natural language questions based on the uploaded documents
• 🔍 View source document excerpts for transparency

🛠️ Tech Stack

• Streamlit
• LangChain
• Groq API
• HuggingFace Embeddings
• FAISS for vector storage

📦 Installation

1. Clone the repository

   git clone https://github.com/yourusername/docuquery.git
   cd docuquery
   

2. Set up a virtual environment

   python -m venv venv
   source venv/bin/activate  # On Windows: venv\Scripts\activate
   

3. Install dependencies

   pip install -r requirements.txt
   

4. Create a .env file

   GROQ_API_KEY=your_groq_api_key_here
   

5. Run the app

   streamlit run main.py
   

6. ** Project Structure**

   ├── main.py             # Streamlit app
   ├── rag_pipeline.py     # RAG pipeline logic (load, embed, retrieve, summarize)
   ├── .env                # Environment variable for API key (DO NOT SHARE)
   ├── requirements.txt    # Python dependencies
   └── README.md           # Project documentation