Jina-CLIP v2
A 0.9B multimodal embedding model with multilingual support for 89 languages, 512x512 image resolution, and Matryoshka representations that enable dimensional flexibility from 1024 down to 64 dimensions while maintaining strong performance.
About this tool
Overview
Jina-CLIP v2 is a state-of-the-art multimodal embedding model that combines text and image understanding in a single unified model. It represents a significant improvement over v1 with enhanced multilingual capabilities and higher resolution image processing.
Architecture
The model combines two specialized encoders:
- Text Encoder: Jina XLM-RoBERTa (561M parameters)
- Vision Encoder: EVA02-L14 (304M parameters)
- Total Parameters: 865M
Key Features
- Multilingual Support: Supports 89 languages for text-image retrieval with up to 4% improvement over comparable models
- High Resolution: Processes 512x512 images, a significant upgrade from v1's 224x224 resolution
- Matryoshka Representations: Allows truncating output dimensions from 1024 to 64 while maintaining 99% performance
- State-of-the-Art Performance: Achieves 98.0% accuracy on Flickr30k image-to-text retrieval
- Flexible Deployment: Available via Jina Embeddings API, AWS, Azure, and GCP
Performance
Even aggressive 75% dimensional reduction maintained over 99% performance across text, image, and cross-modal tasks. The model shows 3% performance improvement over v1 in both text-image and text-text retrieval tasks.
Use Cases
- Cross-modal search (text-to-image, image-to-text)
- Multilingual image retrieval
- Visual question answering
- Content-based recommendation systems
- Multimodal RAG applications
Pricing
Available through Jina Embeddings API with commercial licensing. Also available on cloud marketplaces (AWS, Azure, GCP) with usage-based pricing.
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