jina-embeddings-v4 is a multimodal embedding model built on Qwen2.5-VL with LoRA adapters and dual single/multi-vector outputs, and it introduces the Jina-VDR benchmark for visually rich retrieval.
Xueguang Ma, Sheng-Chieh Lin, Minghan Li, Wenhu Chen, and Jimmy Lin
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.AI 1years
2025 1verdicts
CONDITIONAL 1representative citing papers
citing papers explorer
-
jina-embeddings-v4: Universal Embeddings for Multimodal Multilingual Retrieval
jina-embeddings-v4 is a multimodal embedding model built on Qwen2.5-VL with LoRA adapters and dual single/multi-vector outputs, and it introduces the Jina-VDR benchmark for visually rich retrieval.