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The code used to train and run inference with the ColVision models, e.g. ColPali, ColQwen2, and ColSmol.
Use late-interaction multi-modal models such as ColPali in just a few lines of code.
Scalable Multi-modal RAG platform
Vision-Augmented Retrieval and Generation (VARAG) - Vision first RAG Engine
Serverless Modal + FastAPI + React + ColPali + Qdrant + GPT4o Vision RAG (V-RAG) Demo
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.
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
REST API for computing cross-modal similarity between images and text using the ColPaLI vision-language model
ColQwen2 local Vespa DB deploy and feed and Open-Webui retrieval function