Elastic and Jina AI join forces to advance open source retrieval for AI applications

Elastic has partnered with Jina AI to enhance open-source retrieval capabilities for AI applications, focusing on integrating Jina's expertise in multimodal and multilingual embeddings with Elastic's search platform. The collaboration aims to leverage Jina's universal embeddings models, advanced rerankers, and small language models to improve search relevance and AI experiences by combining them with Elastic's large-scale infrastructure. These models will be accessible on Hugging Face and through Elastic's Cloud services, allowing users to implement them alongside Elastic's vector search. Han Xiao, the former CEO of Jina AI and now VP of AI at Elastic, emphasized the potential of this partnership to advance mission-critical search applications by uniting Jina's search foundation models with Elastic's ecosystem. The announcement also includes a disclaimer regarding the uncertainty of future features and the importance of understanding the privacy practices of third-party AI tools.

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