📚 Multi-Document QA Chat Bot

An intelligent conversational AI chatbot that allows you to upload and query multiple documents and have natural conversations about their content.
Built with LangChain, Groq LLM, ChromaDB, and Streamlit.

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✨ Features

• 📄 Multi-Document Support – Load and query multiple PDF documents simultaneously
• 💬 Conversational Memory – Remembers previous questions and maintains context
• 🔍 Semantic Search – Vector embeddings for intelligent document retrieval
• 🤖 AI-Powered Responses – Fast, accurate answers using Groq LLM
• 🎨 Chat Interface – Clean chat UI with Streamlit + streamlit-chat
• ⚡ Fast Performance – Optimized with ChromaDB and efficient chunking
• 🔄 Session Persistence – Chat history maintained during the session

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🧠 Use Cases

• Research paper analysis
• Legal document review
• Technical documentation Q&A
• Meeting notes and reports analysis

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🛠️ Tech Stack

Component	Technology	Purpose
Frontend	Streamlit + streamlit-chat	Web interface
LLM	Groq (openai/gpt-oss-120b)	Fast inference
Embeddings	HuggingFace (sentence-transformers)	Vectorization
Vector DB	ChromaDB	Similarity search
Framework	LangChain (LCEL)	RAG orchestration
PDF Loader	PyPDFLoader	Text extraction
Language	Python 3.8+	Core logic

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📋 Prerequisites

• Python 3.8+
• Groq API Key (free tier)
• Supported Files: PDFs / DOCX / TXT files to be present in /docs folder.

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🚀 Installation

Clone the Repository

git clone https://github.com/Ganesh153/Multi-Document-QA-ChatBot.git

Create Virtual Environment

Windows

python -m venv .venv
.venv\Scripts\activate

Linux / macOS

python3 -m venv .venv
source .venv/bin/activate

Install Dependencies

pip install -r requirements.txt

Environment Variables

Create .env:

GROQ_API_KEY=your_groq_api_key_here

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📦 Dependencies

streamlit>=1.28.0
streamlit-chat>=0.1.1
langchain>=0.1.0
langchain-community>=0.0.20
langchain-core>=0.1.0
langchain-groq>=0.0.1
langchain-huggingface>=0.0.1
langchain-text-splitters>=0.0.1
python-dotenv>=1.0.0
chromadb>=0.4.18
pypdf>=3.17.0
sentence-transformers>=2.2.0

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🎯 Usage

streamlit run multi_doc_chat.py

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📁 Project Structure

multi-docs-chatbot/
├── multi_doc_chat.py
├── load_docs.py
├── .env
├── requirements.txt
├── README.md
├── docs/
├── chroma_db/
└── .gitignore

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