---
title: RAG Chatbot AI
emoji: 📚
colorFrom: blue
colorTo: purple
sdk: gradio
sdk_version: 6.9.0
python_version: '3.10'
app_file: app.py
pinned: false
---

Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference

# 📚 RAG Chatbot AI (Gradio)
This is a **RAG (Retrieval-Augmented Generation) chatbot** using **Gradio**.  
It allows users to upload documents (PDF, DOCX, CSV) and ask questions.  
The chatbot retrieves relevant context using **FAISS embeddings** and generates answers via **Groq API (LLaMA3-70B)**.

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## Features
- Upload documents and extract text.
- Retrieve relevant context using FAISS embeddings.
- Generate answers using **Groq LLaMA3-70B**.
- Optional evaluation with **BLEU, ROUGE, BERTScore**.

---

## Files in this repository
- `app.py` → Main Gradio app  
- `requirements.txt` → Python dependencies  
- `README.md` → This file  

---

## Hugging Face Space Setup
1. Create a new **Gradio Space** on [Hugging Face](https://huggingface.co/spaces).  
2. Upload all files (`app.py`, `requirements.txt`, `README.md`).  
3. Add your **GROQ_API_KEY** in **Space Settings → Variables and secrets**.  
4. Click **Run** — your chatbot will be live.