OpenBMB/VisRAG

https://arxiv.org/abs/2606.28344. The end of web parsing. The beginning of scalable pixel-native search. link: https://pixelrag.ai/

The code used to train and run inference with the ColVision models, e.g. ColPali, ColQwen2, and ColSmol.

Colivara is a suite of services that allows you to store, search, and retrieve documents based on their visual embedding. ColiVara has state of the art retrieval performance on both text and visual documents. using vision models instead of chunking and text-processing for documents. No OCR, no text extraction, no broken tables, or missing images.

"RAG-Anything: All-in-One RAG Framework"

Multimodal Retrieval-augmented Generation Framework Built by Tongyi Lab, Alibaba Group.

Hybrid RAG system combining vector search, knowledge graph (LightRAG), and cross-encoder reranking — with Docling document parsing, visual intelligence (image/table captioning), agentic streaming chat, and inline citations. Powered by Gemini or local Ollama models.

DeepSeek-VL2: Mixture-of-Experts Vision-Language Models for Advanced Multimodal Understanding

Qwen3-VL is the multimodal large language model series developed by Qwen team, Alibaba Cloud.