Overview
jina-embeddings-v4
is a universal embedding model for multimodal and multilingual retrieval. The model is specially designed for complex document retrieval, including visually rich documents with charts, tables, and illustrations.Features
jina-embeddings-v4
features:- Unified embeddings for text, images, and visual documents, supporting both dense (single-vector) and late-interaction (multi-vector) retrieval.
- Multilingual support (30+ languages) and compatibility with a wide range of domains, including technical and visually complex documents.
- Task-specific adapters for retrieval, text matching, and code-related tasks, which can be selected at inference time.
- Flexible embedding size: dense embeddings are 2048 dimensions by default but can be truncated to as low as 128 with minimal performance loss.