On October 10, 2025, Elastic officially announced the completion of its acquisition of Jina AI. This move aims to further enhance Elastic's technical strength and market competitiveness in the search AI field. The news of the acquisition was released on the morning of October 9 through Elastic's official website, marking that the two companies will jointly promote the development of open-source retrieval technology.
Jina AI has always been at the forefront in areas such as multimodal, multilingual vectors, re-ranking, and small language models. With the rapid evolution of AI technology, Elastic plans to leverage Jina AI's innovative capabilities to drive the development of vector models, re-rankers, and small models, providing customers with a better search experience. In the future, new Jina AI models will be integrated into Elastic's inference and search platform, helping customers perform more accurate information retrieval.
As part of the acquisition, Xiao Han, the former CEO of Jina AI, will serve as Elastic's Vice President of AI, responsible for AI strategy and R&D direction. He will continue to lead the Jina team to focus on the research and development of vector models and related technologies to promote the development of search AI.
Ken Exner, Elastic's Chief Product Officer, emphasized in the announcement that retrieval technology is the core of the Elastic Search AI platform. The acquisition of Jina AI will further enhance its search relevance and real-time analysis capabilities. Exner stated that Jina AI's technical expertise will help enterprises build excellent retrieval solutions, especially in handling multilingual long documents and visual document retrieval, where Jina's capabilities are outstanding.
After the acquisition, Jina AI will continue to provide its models to the public in an open-source manner and achieve seamless integration through Elastic Cloud's inference services. Users will be able to directly call these models within Elastic's vector search environment, improving the efficiency and accuracy of searches.
Xiao Han stated that the collaboration with Elastic will allow Jina AI's technology to be more widely applied in practical scenarios, helping developers create faster and more accurate AI experiences. He expressed confidence in the future collaboration and looks forward to combining Jina AI's cutting-edge capabilities with Elastic's vast ecosystem to jointly drive the development of the next generation of open-source AI search technology.