README.md

---
title: Rag With Pleias
emoji: 🏢
colorFrom: green
colorTo: pink
sdk: gradio
sdk_version: 5.29.0
app_file: app.py
pinned: false
license: mit
---

# Pleias RAG PDF QA Space

This Hugging Face Space allows you to ask questions about content in PDF documents using the [Pleias RAG model](https://huggingface.co/PleIAs/Pleias-RAG-350M), a phone-sized SLM with 350 million parameters..

## 🧠 Model
The app uses the `PleIAs/Pleias-RAG-350M` model through the [`pleias_rag_interface` library](https://github.com/Pleias/Pleias-RAG-Library).

## 🚀 Features
- Accepts user queries and PDF URLs.
- Extracts text from the PDFs.
- Uses Retrieval-Augmented Generation (RAG) to produce contextual answers grounded in the document content.

## 🛠️ Usage
1. Enter a natural-language question.
2. Provide one or more **public PDF URLs**, each on its own line.
3. Submit and get an answer, along with metadata like the backend used.