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jina-embeddings-v3

Jina Embeddings v3 is a 570M-parameter text embedding model supporting 89 languages with a 8192-token context window. It uses LoRA adapters to switch between task-specific embedding modes (retrieval, similarity, classification) without separate models.

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Fields below are copied from the tags and counters on the HuggingFace repository jinaai/jina-embeddings-v3 at our last fetch. They are set by the uploader, not verified by us; rows with no tag are omitted. How this page is made.

Publisher (HF namespace)
jinaai
Pipeline tag
feature-extraction
Library
Transformers, Sentence Transformers
Framework tags
PyTorch
Weight formats
ONNX, safetensors
License tag
cc-by-nc-4.0 — read the license file in the repo before relying on it
Language tags
multilingual; Afrikaans (af), Amharic (am), Arabic (ar), Assamese (as), Azerbaijani (az), Belarusian (be), Bulgarian (bg), Bangla (bn), Breton (br), Bosnian (bs), Catalan (ca), Czech (cs), Welsh (cy), Danish (da), German (de), Greek (el), English (en), Esperanto (eo), Spanish (es), Estonian (et), Basque (eu), Persian (fa), Finnish (fi), French (fr), Western Frisian (fy), Irish (ga), Scottish Gaelic (gd), Galician (gl), Gujarati (gu), Hausa (ha), Hebrew (he), Hindi (hi), Croatian (hr), Hungarian (hu), Armenian (hy), Indonesian (id), Icelandic (is), Italian (it), Japanese (ja), Javanese (jv), Georgian (ka), Kazakh (kk), Khmer (km), Kannada (kn), Korean (ko), Kurdish (ku), Kyrgyz (ky), Latin (la), Lao (lo), Lithuanian (lt), Latvian (lv), Malagasy (mg), Macedonian (mk), Malayalam (ml), Mongolian (mn), Marathi (mr), Malay (ms), Burmese (my), Nepali (ne), Dutch (nl), Norwegian (no), Oromo (om), Odia (or), Punjabi (pa), Polish (pl), Pashto (ps), Portuguese (pt), Romanian (ro), Russian (ru), Sanskrit (sa), Sindhi (sd), Sinhala (si), Slovak (sk), Slovenian (sl), Somali (so), Albanian (sq), Serbian (sr), Sundanese (su), Swedish (sv), Swahili (sw), Tamil (ta), Telugu (te), Thai (th), Filipino (tl), Turkish (tr), Uyghur (ug), Ukrainian (uk), Urdu (ur), Uzbek (uz), Vietnamese (vi), Xhosa (xh), Yiddish (yi), Chinese (zh)
Papers cited
arXiv:2409.10173
Downloads (HF counter at last fetch)
2,319,256
Likes (HF counter at last fetch)
1,154
Model card
https://huggingface.co/jinaai/jina-embeddings-v3

Use cases

  • Long-document retrieval where 512-token context is insufficient
  • Multilingual semantic search across 89 languages
  • Task-adaptive embeddings that switch modes based on query type
  • Replacing multiple task-specific embedding models with one deployment

Pros

  • 8192-token context window — far beyond most open embedding models
  • Single model covers retrieval, classification, and similarity via LoRA adapters
  • Strong MTEB multilingual scores
  • CC-BY-NC 4.0 — free for non-commercial use

Cons

  • CC-BY-NC license prohibits commercial use without a Jina AI license
  • 570M parameters require ~1.2GB VRAM — heavier than MiniLM-class models
  • LoRA adapter switching adds configuration complexity
  • Commercial users must contact Jina AI for licensing terms

Tags

transformerspytorchonnxsafetensorsfeature-extractionsentence-similaritymtebsentence-transformerscustom_codemultilingualafamarasazbebgbnbrbs