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---
license: apache-2.0
title: Multi-Model-Rag
sdk: streamlit
emoji: 📚
colorFrom: gray
colorTo: indigo
---
## 📄 Multi-Modal RAG PDF Chatbot
A Streamlit application that allows you to **upload a PDF**, ask questions about its content, and get accurate responses using a **Multi-Modal Retrieval-Augmented Generation (RAG)** pipeline powered by **Groq's Gemma-2 9B model**.
---
### 🚀 Features
- 📁 Upload any PDF
- 🔍 Intelligent chunking and embedding
- 🧠 Ask natural language questions about your PDF
- ⚡ Powered by FAISS + HuggingFace + Groq LLM
- 🧠 Caches session so PDF isn't reprocessed on every query
---
### 🛠️ Installation (with `venv`)
1. **Clone the repo:**
```bash
git clone https://github.com/Warishayat/Multimodel-Rag-Application01.git
cd Multimodal-Rag-Application01
```
2. **Create and activate a virtual environment:**
```bash
python -m venv venv
# Activate:
# On Windows
venv\Scripts\activate
# On macOS/Linux
source venv/bin/activate
```
3. **Install dependencies:**
```bash
pip install -r requirements.txt
```
4. **Set up your `.env` file:**
Create a `.env` file in the root directory:
```
GROQ_API_KEY=your_groq_api_key_here
```
---
### 📦 Project Structure
```
📁 Multimodal-Rag-Application01
├── main.py # Streamlit frontend
├── pdfparsing.py # PDF parser using pymupdf4llm
├── Datapreprocessing.py # Chunking & text cleaning
├── vectorstore.py # Embedding & FAISS logic
├── .env # API keys
├── requirements.txt # Python dependencies
└── README.md # You're here!
```
---
### ▶️ Run the App
```bash
streamlit run main.py
```
Then open `http://localhost:8501` in your browser.
---
### 🧪 Example Queries
After uploading a PDF, try asking:
- "What is the summary of section 3?"
- "List all benchmarks mentioned."
- "How is this model different from others?"
---
### 💡 Tips
- PDF is processed only once per session using `st.session_state`.
- Uses `RecursiveCharacterTextSplitter` for effective chunking.
- Embedding with `HuggingFaceEmbeddings`.
---
### 📋 Requirements
Make sure your `requirements.txt` includes at least:
```txt
streamlit
python-dotenv
langchain
langchain-community
langchain-groq
faiss-cpu
pymupdf4llm
```
---
### 📬 Credits
Built with ❤️ by Waris Hayat Abbasi.
--- |