README.md

metadata

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, a phone-sized SLM with 350 million parameters..

🧠 Model

The app uses the PleIAs/Pleias-RAG-350M model through the pleias_rag_interface 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.