MODEL PROFILE

jina-embeddings-v4

jinaai · jina-embeddings-v4

`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. Built on Qwen/Qwen2.5-VL-3B-Instruct, `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.

multimodal-embedding
Context windowNot disclosed
Input → Output待核验 → 待核验
Model weightsNot verified
Profile updated2026/11/2 19:16:15
OVERVIEW

Model 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. Built on Qwen/Qwen2.5-VL-3B-Instruct, `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.

Key features

特点摘要待依据来源补齐,不凭模型名称推断能力。

Limitations & considerations

Sources are insufficient to establish specific limitations. Verify task performance, latency, data policies, licensing and version lifecycle.

PRICING & COST

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INDEPENDENT BENCHMARKS

Public benchmarks & run configuration

暂无已采集的可核验公开评分。模型未上榜不代表能力较低。

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Frequently asked questions

Do open weights permit free commercial use?

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Sources & traceability

许可证:来源未披露,须进一步核验。模型介绍与第三方评测均以原来源的具体版本和方法为准。