How Using a Reranking Microservice Can Improve Accuracy and Costs of Information Retrieval – NVIDIA Technical Blog News and tutorials for developers, data scientists, and IT admins 2025-05-09T19:39:54Z http://www.open-lab.net/blog/feed/ Tanay Varshney <![CDATA[How Using a Reranking Microservice Can Improve Accuracy and Costs of Information Retrieval]]> http://www.open-lab.net/blog/?p=96363 2025-03-06T20:05:47Z 2025-03-06T18:33:38Z Applications requiring high-performance information retrieval span a wide range of domains, including search engines, knowledge management systems, AI agents,...]]> Applications requiring high-performance information retrieval span a wide range of domains, including search engines, knowledge management systems, AI agents,...

Applications requiring high-performance information retrieval span a wide range of domains, including search engines, knowledge management systems, AI agents, and AI assistants. These systems demand retrieval processes that are accurate and computationally efficient to deliver precise insights, enhance user experiences, and maintain scalability. Retrieval-augmented generation (RAG) is used to��

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