{"id":276,"date":"2024-05-07T12:01:15","date_gmt":"2024-05-07T12:01:15","guid":{"rendered":"http:\/\/localhost:8888\/sawberries\/2024\/05\/07\/rag-application-with-cohere-command-r-and-rerank\/"},"modified":"2024-05-07T12:01:15","modified_gmt":"2024-05-07T12:01:15","slug":"rag-application-with-cohere-command-r-and-rerank","status":"publish","type":"post","link":"http:\/\/localhost:8888\/sawberries\/2024\/05\/07\/rag-application-with-cohere-command-r-and-rerank\/","title":{"rendered":"RAG Application with Cohere Command-R and Rerank \u2013 Part 1"},"content":{"rendered":"<div>\n<p>Introduction The Retrieval-Augmented Generation approach combines LLMs with a retrieval system to improve response quality. However, inaccurate retrieval can lead to sub-optimal responses. Cohere\u2019s re-ranker model enhances this process by evaluating and ordering search results based on contextual relevance, improving accuracy and saving time for specific information seekers. This article provides a guide on implementing [\u2026]<\/p>\n<p>The post <a href=\"https:\/\/www.analyticsvidhya.com\/blog\/2024\/05\/rag-application-with-cohere-command-r-and-rerank\/\">RAG Application with Cohere Command-R and Rerank \u2013 Part 1<\/a> appeared first on <a href=\"https:\/\/www.analyticsvidhya.com\/\">Analytics Vidhya<\/a>.<\/p>\n<\/div>\n","protected":false},"excerpt":{"rendered":"<p>Introduction The Retrieval-Augmented Generation approach combines LLMs with a retrieval system to improve response quality. However, inaccurate retrieval can lead to sub-optimal responses. Cohere\u2019s re-ranker model enhances this process by evaluating and ordering search results based on contextual relevance, improving accuracy and saving time for specific information seekers. This article provides a guide on implementing [&hellip;]<\/p>\n","protected":false},"author":2,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[107,470,596,329,116,327,330,20,561,597,21,598,599],"tags":[],"_links":{"self":[{"href":"http:\/\/localhost:8888\/sawberries\/wp-json\/wp\/v2\/posts\/276"}],"collection":[{"href":"http:\/\/localhost:8888\/sawberries\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"http:\/\/localhost:8888\/sawberries\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"http:\/\/localhost:8888\/sawberries\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"http:\/\/localhost:8888\/sawberries\/wp-json\/wp\/v2\/comments?post=276"}],"version-history":[{"count":0,"href":"http:\/\/localhost:8888\/sawberries\/wp-json\/wp\/v2\/posts\/276\/revisions"}],"wp:attachment":[{"href":"http:\/\/localhost:8888\/sawberries\/wp-json\/wp\/v2\/media?parent=276"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"http:\/\/localhost:8888\/sawberries\/wp-json\/wp\/v2\/categories?post=276"},{"taxonomy":"post_tag","embeddable":true,"href":"http:\/\/localhost:8888\/sawberries\/wp-json\/wp\/v2\/tags?post=276"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}