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Jina Embeddings v3
Jina AIEmbeddingOpen SourceHigh-performance multilingual embedding model supporting 89 languages. Optimized for search, retrieval, and RAG applications.
Abilities
EmbeddingsMultilingualRAG
Use Cases
RAG / SearchEnterpriseResearch
Available in Tools
Jina AIhttps://jina.ai
Availability
How to Use
Use the Jina API or download from Hugging Face for self-hosting. Supports task-specific LoRA adapters for retrieval, classification, and clustering.
Pros
- Excellent multilingual support — 89 languages for cross-lingual search
- Open source with Apache 2.0 license — full freedom for commercial use
- Competitive quality with OpenAI embeddings at lower cost
- Task-specific LoRA adapters for optimized retrieval, classification, and clustering
Cons
- Smaller community than OpenAI embeddings
- Self-hosting requires more setup and infrastructure
- Less integrated with major cloud platforms
What to Use It For
Perfect For
Multilingual RAG and search
89 languages with task-optimized adapters — ideal for international search systems
Self-hosted embedding pipelines
Open source with Apache license — run on your own infrastructure with zero API costs
Cross-lingual retrieval
Embeddings align across languages — search in English, find results in any of 89 languages
Good For
Semantic search applications
Strong embedding quality enables accurate semantic matching
Not Recommended
Text generation
Embedding model — produces vectors, not text
Try instead: GPT-4o
Very large document embedding
8K context limit requires chunking for long documents
Try instead: text-embedding-3-large
Do Not Use For
Image understanding
Text-only embedding model — cannot process images
Try instead: GPT-4o
Conversational AI
Embeddings are for search/retrieval, not conversation
Try instead: Claude Sonnet 4
Technical Details
PricingFree tier, paid plans from $0.02/1M tokens
Parameters570M
LicenseApache 2.0