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jina-ocr-v1: Faster Document Parsing on Low-Budget GPUs

jina-ocr-v1 is a vision language model with 3.4B parameters and 570M active parameters, scoring 91.1 on OmniDocBench v1.6 and 83.4 on olmOCR-Bench.

September 14, 2026 • 9 minutes read

jina-reranker-v3.5: Faster Listwise Reranking with Hybrid Attention and Self-Distillation

A 0.6B listwise reranker that beats Qwen3-Reranker-4B on BEIR, reranks up to 1.56x faster than v3, and gains 9.6 nDCG@10 on semi-structured retrieval.

August 03, 2026 • 11 minutes read

jina-embeddings-v5-omni: Embeddings for Text, Image, Audio and Video

One model, four modalities: text, image, audio, video. Best-in-class omni embeddings in 1.6B and 0.9B.

May 12, 2026 • 7 minutes read

Academic Publications

September 02, 2026

jina-ocr-v1: Efficient Document Parsing with Speculative Decoding and Dense Verifiable Rewards

jina-reranker-v3.5: An Efficient Listwise Reranker with Hybrid Attention and Self-Distillation

jina-embeddings-v5-omni: Geometry-preserving Embeddings via Locked Aligned Towers

February 17, 2026

jina-embeddings-v5-text: Task-Targeted Embedding Distillation

January 22, 2026

Embedding Compression via Spherical Coordinates

December 29, 2025

Vision Encoders in Vision-Language Models: A Survey

December 04, 2025

Jina-VLM: Small Multilingual Vision Language Model

October 01, 2025

jina-reranker-v3: Last but Not Late Interaction for Document Reranking

August 31, 2025

Efficient Code Embeddings from Code Generation Models

jina-embeddings-v4: Universal Embeddings for Multimodal Multilingual Retrieval

ReaderLM-v2: Small Language Model for HTML to Markdown and JSON

December 17, 2024

AIR-Bench: Automated Heterogeneous Information Retrieval Benchmark

December 12, 2024

jina-clip-v2: Multilingual Multimodal Embeddings for Text and Images

September 18, 2024

jina-embeddings-v3: Multilingual Embeddings With Task LoRA

September 07, 2024

Late Chunking: Contextual Chunk Embeddings Using Long-Context Embedding Models

August 30, 2024

Jina-ColBERT-v2: A General-Purpose Multilingual Late Interaction Retriever

Leveraging Passage Embeddings for Efficient Listwise Reranking with Large Language Models

Jina CLIP: Your CLIP Model Is Also Your Text Retriever

February 26, 2024

Multi-Task Contrastive Learning for 8192-Token Bilingual Text Embeddings

October 30, 2023

Jina Embeddings 2: 8192-Token General-Purpose Text Embeddings for Long Documents

Jina Embeddings: A Novel Set of High-Performance Sentence Embedding Models

21 publications in total.

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September 14, 2026 • 9 minutes read

jina-ocr-v1: Faster Document Parsing on Low-Budget GPUs

jina-ocr-v1 is a vision language model with 3.4B parameters and 570M active parameters, scoring 91.1 on OmniDocBench v1.6 and 83.4 on olmOCR-Bench.

August 03, 2026 • 11 minutes read

jina-reranker-v3.5: Faster Listwise Reranking with Hybrid Attention and Self-Distillation

A 0.6B listwise reranker that beats Qwen3-Reranker-4B on BEIR, reranks up to 1.56x faster than v3, and gains 9.6 nDCG@10 on semi-structured retrieval.

May 12, 2026 • 7 minutes read

jina-embeddings-v5-omni: Embeddings for Text, Image, Audio and Video

One model, four modalities: text, image, audio, video. Best-in-class omni embeddings in 1.6B and 0.9B.

March 11, 2026 • 7 minutes read

Bootstrapping Audio Embeddings from Multimodal LLMs

Turn any multimodal LLM into a small audio embedding model that beats CLAP with 25x less data.

March 06, 2026 • 6 minutes read

Identifying Embedding Models from Raw Numerical Values

A tiny transformer that fingerprints embedding models by reading raw numerical digits. No feature engineering.

February 19, 2026 • 7 minutes read

jina-embeddings-v5-text: New SOTA Small Multilingual Embeddings

Two sub-1B multilingual embeddings with best-in-class performance, available on Elastic Inference Service, Llama.cpp and MLX.

December 04, 2025 • 7 minutes read

Jina-VLM: Small Multilingual Vision Language Model

New 2B vision language model achieves SOTA on multilingual VQA, no catastrophic forgetting on text-only tasks.

October 03, 2025 • 7 minutes read

Jina Reranker v3: 0.6B Listwise Reranker for SOTA Multilingual Retrieval

New 0.6B-parameter listwise reranker that considers the query and all candidate documents in a single context window.

September 09, 2025 • 11 minutes read

Multimodal Embeddings in Llama.cpp and GGUF

We brought multimodal embeddings to llama.cpp and GGUF, and uncovered a few surprising issues along the way.

September 04, 2025 • 6 minutes read

Jina Code Embeddings: SOTA Code Retrieval at 0.5B and 1.5B

Code generation LLMs → code embeddings: 0.5B/1.5B models achieve SOTA performance across 25 code retrieval benchmarks.

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