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Unlock Multilingual Possibilities with Jina Embeddings

Power your vector pipelines with state-of-the-art text and image embeddings.

shipped Nov 20, 2025buildpaid
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Why it matters

1Achieve seamless cross-modal search with cutting-edge embeddings.
2Process visually rich content effortlessly, from images to text.
3Optimize your retrieval tasks with specialized LoRA adapters.

Specs

API Docs

View Documentation →

GitHub

View Repository →

API Available

Yes, public API

overview

What is Jina Embeddings?

Jina Embeddings is an open-source embedding family designed for building sophisticated multilingual vector pipelines. With its versatile capabilities, it offers exceptional performance for tasks requiring the integration of text and images, catering to today's diverse dataset demands.

  • Open-source and community-driven.
  • Handles both text and image embeddings in one model.
  • Scalable for enterprise-level applications.

features

Key Features of Jina Embeddings V4

The latest version boasts a 3.8 billion parameter multimodal model capable of processing up to 32,768 tokens of text and 20 megapixel images. This allows teams to harness advanced capabilities for various applications without complicated architecture.

  • Three integrated LoRA adapters for enhanced task performance.
  • Supports multilingual inputs for global applications.
  • Eliminates the need for separate encoders or OCR preprocessing.

use cases

Applications of Jina Embeddings

Leverage Jina Embeddings in diverse applications such as semantic search, code retrieval, and AI support systems. Its high efficiency supports modern workflows, making it invaluable for various sectors.

  • Enterprise-scale document retrieval.
  • Cross-modal search capabilities.
  • Optimized for RAG and AI agent pipelines.

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