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Jerkmate
https://arxiv.org/abs/2506.18902
[2506.18902] jina-embeddings-v4: Universal Embeddings for Multimodal Multilingual Retrieval
Abstract page for arXiv paper 2506.18902: jina-embeddings-v4: Universal Embeddings for Multimodal Multilingual Retrieval
jina embeddings2506v4universalmultimodal
https://www.elastic.co/search-labs/blog/jina-embeddings-v5-text
jina-embeddings-v5-text: Compact multilingual embedding models - Elasticsearch Labs
jina embeddings v5elasticsearch labstextcompactmultilingual
https://jina.ai/news/jina-embeddings-v5-text-distilling-4b-quality-into-sub-1b-multilingual-embeddings/
jina-embeddings-v5-text: New SOTA Small Multilingual Embeddings
Feb 21, 2026 - Two sub-1B multilingual embeddings with best-in-class performance, available on Elastic Inference Service, Llama.cpp and MLX.
jina embeddings v5text newsmall multilingualsota
https://arxiv.org/abs/2307.11224
[2307.11224] Jina Embeddings: A Novel Set of High-Performance Sentence Embedding Models
Abstract page for arXiv paper 2307.11224: Jina Embeddings: A Novel Set of High-Performance Sentence Embedding Models
jina embeddingshigh performance2307novelset
https://arxiv.org/abs/2409.10173
[2409.10173] jina-embeddings-v3: Multilingual Embeddings With Task LoRA
Abstract page for arXiv paper 2409.10173: jina-embeddings-v3: Multilingual Embeddings With Task LoRA
jina embeddings240910173v3multilingual
https://huggingface.co/jinaai/jina-embeddings-v5-text-nano
jinaai/jina-embeddings-v5-text-nano · Hugging Face
We’re on a journey to advance and democratize artificial intelligence through open source and open science.
jina embeddings v5hugging facejinaaitextnano
https://arxiv.org/abs/2310.19923
[2310.19923] Jina Embeddings 2: 8192-Token General-Purpose Text Embeddings for Long Documents
Abstract page for arXiv paper 2310.19923: Jina Embeddings 2: 8192-Token General-Purpose Text Embeddings for Long Documents
jina embeddingsgeneral purpose23108192token
https://jina.ai/news/jina-embeddings-v4-universal-embeddings-for-multimodal-multilingual-retrieval/
Jina Embeddings v4: Universal Embeddings for Multimodal Multilingual Retrieval
Aug 25, 2025 - Jina Embeddings v4 is a 3.8 billion parameter universal embedding model for multimodal and multilingual retrieval that supports both single-vector and...
jina embeddingsv4universalmultimodalmultilingual
https://arxiv.org/abs/2602.15547
[2602.15547] jina-embeddings-v5-text: Task-Targeted Embedding Distillation
Abstract page for arXiv paper 2602.15547: jina-embeddings-v5-text: Task-Targeted Embedding Distillation
jina embeddings v52602texttasktargeted