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Resolution is important for image embeddings - especially for visual document retrieval. jina-embeddings-v4 supports inputs up to 16+ MP (the default is much lower). We wrote a blog post about how resolution affects performance across benchmarks jina.ai/news/how-image…
Our paper "Late Chunking: Contextual Chunk Embeddings Using Long-Context Embedding Models" has been accepted at the Robust IR Workshop @ SIGIR 2025! 🌠 📅 I'll present it on July 17th 📝 Pre-print: arxiv.org/abs/2409.04701 🔗 Workshop: …-2025-workshop-on-robust-ir.github.io
I just integrated jina-embeddings-v4 with vLLM, and throughput doubled compared to inference via transformers (tested on Flickr data, 2k text/images). Instructions on the model page: huggingface.co/jinaai/jina-em…
jina-embeddings-v3 + jina-clip-v2 + jina-colbert-v2 + colpali + dse = jina-embeddings-v4 😇 jina.ai/news/jina-embe…
This is interesting as a first large diffusion-based LLM. Most of the LLMs you've been seeing are ~clones as far as the core modeling approach goes. They're all trained "autoregressively", i.e. predicting tokens from left to right. Diffusion is different - it doesn't go left to…
This is interesting as a first large diffusion-based LLM. Most of the LLMs you've been seeing are ~clones as far as the core modeling approach goes. They're all trained "autoregressively", i.e. predicting tokens from left to right. Diffusion is different - it doesn't go left to…
Great work from MMTEB team! We have 3 contributors from @JinaAI_ ! @michael_g_u @jupyterjazz @isabelle_mohr
Looking forward to ECIR!
At #EMNLP2024 Miami next week? Join us on November 14, 2024, from 10:30 AM to 12:00 PM (Miami Time) for a BoF session on Embeddings, Rerankers, and Small LMs for better search. This 1.5-hour in-person session will bring together researchers in embeddings, rerankers & information…
Proud to share our latest work: jina-embeddings-v3💥 We've developed a multilingual text embedding model with task-specific LoRA adapters, supporting Matryoshka representations. For more details: arxiv.org/pdf/2409.10173
Proud to share our latest work: jina-embeddings-v3💥 We've developed a multilingual text embedding model with task-specific LoRA adapters, supporting Matryoshka representations. For more details: arxiv.org/pdf/2409.10173
🚀jina.ai/news/jina-rera… Jina Reranker v2 is here! The best-in-class reranker for Agentic RAG. Featuring cross-lingual retrieval over 100+ langs, function-calling, table & code search and ultra-fast! Available via API, @huggingface; AWS & Azure coming soon! Let's jump in:
Clip your schedules for next week because Andreas and I will present our latest text&image embedding model with advanced text capabilities 😉 Paper: arxiv.org/abs/2405.20204 🤗: huggingface.co/jinaai/jina-cl… API: jina.ai/embeddings/
Clip your schedules for next week because Andreas and I will present our latest text&image embedding model with advanced text capabilities 😉 Paper: arxiv.org/abs/2405.20204 🤗: huggingface.co/jinaai/jina-cl… API: jina.ai/embeddings/
huggingface.co/spaces/AIR-Ben… Together with the research team @BAAIBeijing (the creator of bge-m3 embeddings), we are excited to release a new benchmark, AIR-Bench, on @huggingface, focusing on a fair out-of-domain evaluation for RAG & NeuralIR. AIR-Bench stands for Automated…
🚨Anonymous PR/#OpGeorgia - To the protesters in Georgia, we have heard your plea for help. Take heart and take to your streets; you are not alone. Anonymous members stand with you and will help in your fight for democracy, freedom, and prosperity. To the Georgia police:…
Our work on bilingual embedding models ⬇️
Our open-source bilingual Spanish-English embedding model is now ready for download through @huggingface. Start using it right away to power your state-of-the-art AI applications. huggingface.co/jinaai/jina-em…
Im Geiste von JFK’s “Ich bin ein Berliner” Aussage veröffentlichen wir unser zweisprachiges deutsch-englisches Embedding-Modell 🇩🇪🇺🇸 8k Kontext-Token, Top Benchmark-Performance, und die geringe Modellgröße setzen neue Standards für Open-Source Modelle. jina.ai/news/ich-bin-e…
Learn the history of text embeddings with our exclusive infographic poster, illustrating the groundbreaking evolution over the last 74 years. jina.ai/news/the-1950-… 🔍 Educational & Insightful - A timeline that offers a detailed look into the advancements from Bag of Words to…
If you need help on embeddings and multimodal for enterprise, these folks know what they're talking about: huggingface.co/jinaai @JinaAI_!
🎉What a week! Our Embedding API is here! 8192 token-length, same performance as OpenAI text-embeddings-ada002 but up to 50x cheaper! $100 for 1.25 billion tokens! Drop-in replacement of OpenAI's API. Try it now! jina.ai/embeddings

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