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

OCR and Document Search Web Application

A new novel multi-modality (Vision) RAG architecture

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

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

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

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

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

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

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

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