Jina AI - Expert in Search: Embeddings, Re-ranking, Prompting

🚀 Discover @JinaAI, the ultimate tool for Search AI! 🔍🤖 Unlock the power of cutting-edge embeddings, re-ranking, and prompt optimization to supercharge your multimodal AI applications. Try it now for free and revolutionize your AI development journey! #AI #SearchAI #JinaAI

The platform offers a variety of multimodal AI solutions tailored for different user groups: Enterprises, Power Users, and Developers.
Users can access scalable multimodal AI strategies, streamlined tools, and an open-source AI stack for their specific needs.
Cutting-edge search foundational models and RAG solutions are developed for enterprises, with a free trial available.
The platform provides top-performing embeddings with 1M free tokens, ideal for search and RAG systems.
The Embedding API seamlessly integrates with renowned databases, vector stores, RAG, and LLMOps frameworks.
Users can leverage the cutting-edge reranker API to enhance search relevancy and RAG accuracy.
A reranker is defined as an AI model refining search results from a vector search or dense retrieval model.
On-premises deployment options are available for easy accessibility within enterprise cloud marketplaces.
Users can manage their API key to access free tokens for testing and top-ups as needed.
The platform offers various resources for learning more about embeddings and rerankers.
Publications detail the development of high-performance text embedding models for different tasks and languages.