Use late-interaction multi-modal models such as ColPali in just a few lines of code.
$ git clone https://github.com/AnswerDotAI/byaldi.git🔥 Rankify: A Comprehensive Python Toolkit for Retrieval, Re-Ranking, and Retrieval-Augmented Generation 🔥. Our toolkit integrates 40 pre-retrieved benchmark datasets and supports 7+ retrieval techniques, 24+ state-of-the-art Reranking models, and multiple RAG methods.
Fold look-alike CJK glyphs (Kangxi radicals, CJK radical supplements) so text extracted from PDFs matches again.
Rust library for generating vector embeddings and reranking locally!
▲ +3 ★ this week
Parsing-free RAG supported by VLMs
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.
Data from GitHub · snapshot Nov 13, 2026