Our latest embedding and reranker models, 𝐉𝐢𝐧𝐚-𝐂𝐋𝐈𝐏 and 𝐉𝐢𝐧𝐚-𝐑𝐞𝐫𝐚𝐧𝐤𝐞𝐫-𝐕𝟐-𝐌𝐮𝐥𝐭𝐢𝐥𝐢𝐧𝐠𝐮𝐚𝐥, are now optimized for AWS SageMaker! For enterprise users, deploying these models within your own AWS or Azure account offers good advantages in terms of compliance and data management. By integrating directly with your existing cloud infrastructure, you can ensure enhanced security, better control over your data, and improved latency compared to calling API. Explore our search foundation models and get started by checking out our integration page below. https://lnkd.in/e2ynp_kE
About us
Founded in 2020 in Berlin, Jina AI is a leading AI company. We build the Search Foundation for AI, with the goal of enabling businesses to harness the power of multimodal data and LLMs for value creation and cost savings. We love open-source and open research.
- Website
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https://jina.ai
External link for Jina AI
- Industry
- Software Development
- Company size
- 11-50 employees
- Headquarters
- Berlin
- Type
- Privately Held
- Founded
- 2020
- Specialties
- open source, Neural Search, AI, Deep Learning, comercial open source software, Information Retrieval, Machine learning, Search, vector search, multimodal, MLOps, and rag
Locations
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Primary
Get directions
Leipziger Straße 96
Berlin, 10117, DE
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Get directions
Haidian District Haidian West street Nr. 48 Floor 5, 459 Room
Beijing, CN
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Get directions
2880 Zanker Rd
Suite 203
San Jose, California 95134, US
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Get directions
Skyworth Semiconductor Top Design Buiding
Shenzhen, Guangdong, CN
Employees at Jina AI
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Robin Vasan
Enterprise Seed / Early Stage Investor
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Emmanuel Cassimatis
Software Investments and Innovation, SAP, Opinions expressed here are my own
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Susana Guzmán
You shall know a word by the company it keeps #Embeddings ;)
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Feng Wang
Engineering Manager at Jina AI. Ex-Huya, Ex-Tencent
Updates
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From Punk Einstein to Turbo Pigeons: Use PromptPerfect Interactive to reverse engineer prompts from pictures and generate Midjourney-style images with real-time feedback. https://lnkd.in/emSKMGpz
Handcrafting Image Prompts Is Dead: Reverse Engineer Midjourney-style Images with PromptPerfect
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Jina Reranker v2 is the best-in-class reranker built for Agentic RAG. It features function-calling support, multilingual retrieval for over 100 languages, code search capabilities, and offers a 6x speedup over v1. https://lnkd.in/ggtkxSMP
Jina Reranker v2 for Agentic RAG: Ultra-Fast, Multilingual, Function-Calling & Code Search
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AI explainability and transparency are hot topics. How can we trust AI if we can't see how it works? Jina-ColBERT shows you how, with the right model architecture, you can easily make your AI spill its secrets. https://lnkd.in/eaKUUuHZ
AI Explainability Made Easy: How Late Interaction Makes Jina-ColBERT Transparent
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Jina AI's new multimodal embedding model not only outperforms OpenAI CLIP in text-image retrieval, it's a solid image embedding model and state-of-the-art text embedding model at the same time. You don't need different models for different modalities any more. https://lnkd.in/ezc4yJtz
Jina CLIP v1: A Truly Multimodal Embeddings Model for Text and Image
jina.ai
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Boost workplace productivity with Jina Embeddings and Reranker, integrated with lightweight, easy-to-deploy Milvus Lite. Check out our guide to upgrading your office Slack search with state-of-the-art AI and Milvus. https://lnkd.in/eb4hvcbU
Implementing a Chat History RAG with Jina AI and Milvus Lite
jina.ai
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Check out the full paper here: https://lnkd.in/enSNGvJh
CLIP bridges text and image, but literally nobody used it for text retrieval—𝙪𝙣𝙩𝙞𝙡 𝙣𝙤𝙬. We're excited to introduce 𝐉𝐢𝐧𝐚 𝐂𝐋𝐈𝐏: a CLIP-like model that's great at text-text, text-image, image-text, and image-image retrieval. From now on, your Jina CLIP model 𝐢𝐬 𝐚𝐥𝐬𝐨 your text retriever. No need to switch between different embedding models when building MuRAG (Multimodal RAG) - one model, two modalities, four search directions. Not to mention it also handle 8K context length. So how we did it? Read more: https://lnkd.in/e8mYHNYJ
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You are invited to our first Generative AI meetup in Berlin! Expect welcoming drinks, followed by presentations by Isabelle Mohr and Mathis Börner and a Q&A session. Afterward, enjoy networking with peers over more drinks and snacks. Our meetup is sponsored by SAP, partnered with Jina AI, and hosted at the amazing SAP Data Space. Don't miss out — secure your spot now and be part of this fantastic event: https://lu.ma/hvg8jn50.
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RAG is neither dead nor alive; it is just one algorithm pattern you can use. But if you make it *the* algorithm and idolize it, then you are living in a bubble you created, and the bubble will burst. https://lnkd.in/e8Q2VnmK
RAG is dead, again?
jina.ai
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See how PromptPerfect overcomes restrictions and limitations of image generation models like Stable Diffusion XL and DALL-E 3. https://lnkd.in/eZ5ATy6a
Bypass Limitations with PromptPerfect: Generate the Images the Models Don’t Want You to See