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metadata 
title: Visual Rag Toolkit
emoji: 👀
colorFrom: green
colorTo: red
sdk: docker
pinned: false
license: mit
short_description: Efficient Multi Vector Visual RAG Toolkit

Visual RAG Toolkit Demo

Interactive demo for the Visual RAG Toolkit - end-to-end visual document retrieval with ColPali models.

Features

  • 📤 Upload Tab: Index your own PDF documents with visual embeddings
  • 📊 Benchmarking Tab: Run evaluations on ViDoRe datasets (requires Qdrant)
  • 🎮 Playground Tab: Interactive search and visualization

Environment Variables

Set these in your Space's settings:

Variable Description
QDRANT_URL Qdrant Cloud URL (e.g., https://xxx.qdrant.io)
QDRANT_API_KEY Qdrant API key

Models

This demo supports:

  • vidore/colpali-v1.3 - Full ColPali model
  • vidore/colSmol-500M - Smaller, faster ColSmol model

Links