The code used to train and run inference with the ColPali architecture.

Use late-interaction multi-modal models such as ColPali in just a few lines of code.

Vision-Augmented Retrieval and Generation (VARAG) - Vision first RAG Engine

A minimalist yet highly performant, lightweight, lightning fast, multisource, multimodal and local embedding solution, built in rust.

Recipes for learning, fine-tuning, and adapting ColPali to your multimodal RAG use cases. 👨🏻‍🍳

Vision Document Retrieval (ViDoRe): Benchmark. Evaluation code for the ColPali paper.

Serverless Modal + FastAPI + React + ColPali + Qdrant + GPT4o Vision RAG (V-RAG) Demo

LitePali is a minimal, efficient implementation of ColPali for image retrieval and indexing, optimized for cloud deployment.

A new novel multi-modality (Vision) RAG architecture

The PyQt6 application using ColPali and OpenAI to show Efficient Document Retrieval with Vision Language Models

OCR and Document Search Web Application