# vision

> Browse 3 items tagged with vision.

## Items

- [Qwen3-VL-Embedding](https://vectordb.ever.works/items/qwen3-vl-embedding) — Multimodal embedding model from Alibaba's Qwen family that processes text, images, and visual documents in a unified embedding space for cross-modal retrieval tasks.
- [CLIP (Contrastive Language-Image Pre-training)](https://vectordb.ever.works/items/clip-contrastive-language-image-pre-training) — OpenAI's multimodal neural network trained on 400 million image-text pairs, enabling zero-shot image classification and cross-modal retrieval by learning joint embeddings for images and text.
- [ColPali](https://vectordb.ever.works/items/colpali) — Vision Language Model trained to produce high-quality multi-vector embeddings from document page images for efficient retrieval, eliminating need for OCR pipelines with ColBERT-style late interaction.

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