Jina AI develops search foundation technology for enterprise search and RAG (Retrieval-Augmented Generation) solutions.

Jina AI

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.

Yunqi Partners

GGV Capital

SAP.iO

Canaan Partners

Mango Capital

🚀 Launching Qdrant Hybrid Cloud with Jina AI!
We’re excited to announce our partnership with Qdrant on their latest offering, the Qdrant Hybrid Cloud. This platform transforms how you deploy and manage your vector database, providing complete data control alongside the convenience of a fully managed service. Its Kubernetes-native design allows for deployment in any environment. 

Optimized Vector Search: Utilize Jina AI’s advanced embedding APIs with Qdrant Hybrid Cloud to deploy flexible, platform-agnostic AI solutions quickly across any environment.

👉 Discover more in our joint announcement: https://lnkd.in/diCWqWC3

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

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

tech community of sense and impact,

our next stop -> Berlin, 23.05

our speakers are Saahil Ognawala, Head of Product at Jina AI, Leon Meier Head of Product at AskUI; and Darinka Burovska, Product Manager, Data & AI at Frontiers. 

join: https://lu.ma/29759ptp

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

One of the biggest problem with #llms are summed up in one old adage: 𝐆𝐚𝐫𝐛𝐚𝐠𝐞 𝐈𝐧, 𝐆𝐚𝐫𝐛𝐚𝐠𝐞 𝐎𝐮𝐭 (𝐆𝐢𝐆𝐨). When it comes to parsing data from internet sources—be it Wikipedia, Reddit, Yahoo Finance or various websites—the quality of input data can be a real headache. This often results in subpar outputs from RAG systems/AI Agents, making the development of #ai applications challenging.
✅ Enter 𝐉𝐢𝐧𝐚 𝐑𝐞𝐚𝐝𝐞𝐫 by Jina AI —an absolute game-changer! Just add your URL as a prefix to https://r.jina.ai and transform any content into a structured markdown format that's LLM-friendly. This simple tool dramatically improves the input quality for your AI systems, ensuring better, more reliable outputs.
Moreover, as we embrace the "Future of AI is agentic" the significance of using tools like Jina Reader becomes even more pronounced. It's essential for building complex systems that connect with various data sources to fetch meaningful information.
And guess what? It's completely free for commercial use under the Apache 2.0 license. ☑ 
📺 Watch the video to understand more about how the Jina Reader API can revolutionize your AI projects. https://lnkd.in/gRCP8YyE

#genai #jinai #generativeai #linkedin #opensourceai #llm #aiagents #rag

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