What is Jina Embeddings v3?
In an era dominated by multilingual data and complex retrieval tasks, Jina Embeddings v3 stands out as a state-of-the-art text embedding model. With 570 million parameters and support for up to 8192 tokens, it outperforms proprietary solutions like OpenAI and Cohere on multilingual and long-context tasks. Open-source and highly efficient, Jina Embeddings v3 is designed for developers, researchers, and businesses tackling query-document retrieval, clustering, classification, and text matching.
Key Features:
🌍 Multilingual Support:
Processes text in 89 languages, with top performance in 30 languages, including English, Chinese, Spanish, and Arabic.
🛠️ Task-Specific Optimization:
Utilizes Low-Rank Adaptation (LoRA) adaptersto fine-tune embeddings for tasks like retrieval, clustering, and classification, ensuring tailored and high-quality results.
📐 Flexible Dimensions:
Leverages Matryoshka Representation Learning (MRL)to allow embedding truncation from 1024 dimensions down to 32, ideal for efficient storage and retrieval.
📄 Long-Context Handling:
Efficiently processes documents up to 8192 tokens, making it perfect for applications requiring deep contextual understanding.
💻 Open Source & Cost-Efficient:
Outperforms larger models like OpenAI and Cohere while being significantly more efficient, making it suitable for both production and edge computing.
Use Cases:
Query-Document Retrieval:
Retrieve relevant documents across multiple languages for legal research, customer support, or academic studies.Text Classification:
Automatically categorize multilingual content for tasks like sentiment analysis, spam detection, or topic modeling.Semantic Text Matching:
Identify similar documents or sentences across languages for applications like plagiarism detection or content recommendation.
Conclusion:
Jina Embeddings v3 is a groundbreaking solution for multilingual and long-context text processing. Its innovative features, such as task-specific LoRA adapters and Matryoshka Representation Learning, make it a versatile and efficient tool for developers and businesses. Ready to enhance your text processing workflows? Explore Jina Embeddings v3 today.
FAQ:
Q: How does Jina Embeddings v3 compare to OpenAI and Cohere models?
A: It outperforms both on multilingual tasksand ranks second on the MTEB English leaderboard for models under 1 billion parameters.
Q: Can I use Jina Embeddings v3 for short text tasks?
A: Yes, its flexible dimensions and task-specific adapters make it ideal for short text tasks like semantic matching and classification.
Q: Is Jina Embeddings v3 open-source?
A: Yes, it’s licensed under CC BY-NC 4.0, making it accessible for non-commercial use. For commercial inquiries, contact Jina AI.
Q: What’s the benefit of using LoRA adapters?
A: LoRA adapters optimize embeddings for specific tasks, ensuring higher accuracy and relevance without significant computational overhead.
Q: Where can I use Jina Embeddings v3?
A: It’s available via AWS SageMaker, Azure Marketplace, and integrated with vector databases like Pinecone, Qdrant, and Milvus.
More information on Jina Embeddings v3
Launched
2020-01
Pricing Model
Free
Starting Price
Global Rank
94581
Follow
Month Visit
542.3K
Tech used
Google Analytics,Google Tag Manager,Cloudflare CDN,Fastly,GitHub Pages,Gzip,HTTP/3,OpenGraph,Varnish
Top 5 Countries
11.78%
11.43%
8.31%
6.58%
4.92%
China
United States
India
Ethiopia
Taiwan
Traffic Sources
2.33%
0.65%
0.08%
8.35%
45.33%
43.25%
social
paidReferrals
mail
referrals
search
direct
Source: Similarweb (Sep 25, 2025)
Jina Embeddings v3 was manually vetted by our editorial team and was first featured on 2025-02-02.
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