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jina-embeddings-v3

jina-embeddings-v3 is a multilingual multi-task text embedding model developed by Jina AI. Built on the Jina-XLM-RoBERTa architecture, it employs task-specific LoRA adapters to generate embeddings for various NLP tasks such as retrieval, classification, text-matching, and more. It supports rotary position embeddings for input sequences up to 8192 tokens and offers flexible, adjustable embedding dimensions.

Key Information

  • Category: Language Models
  • Source: Huggingface
  • Tags: feature-extraction
  • Last updated: January 09, 2026

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Canonical source: https://huggingface.co/jinaai/jina-embeddings-v3

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