{"id":751595,"date":"2026-11-05T17:10:30","date_gmt":"2026-11-05T14:10:30","guid":{"rendered":"https:\/\/buradabiliyorum.com\/en\/box-taps-nvidias-nemotron-for-new-agent-first-content-retrieval-system\/"},"modified":"2026-11-05T17:10:30","modified_gmt":"2026-11-05T14:10:30","slug":"box-taps-nvidias-nemotron-for-new-agent-first-content-retrieval-system","status":"publish","type":"post","link":"https:\/\/buradabiliyorum.com\/en\/box-taps-nvidias-nemotron-for-new-agent-first-content-retrieval-system\/","title":{"rendered":"Box taps Nvidia\u2019s Nemotron for new agent-first content retrieval system"},"content":{"rendered":"
\n

At its developer conference on Thursday, Box showed off a new feature that will build Nvidia\u2019s Nemotron embedding system into the core of its product. <\/p>\n

Called Box Content Retrieval, the new feature allows agents to answer queries far more effectively by relying on the embedded metadata created by Nemotron.\u00a0<\/p>\n

Box says the upshot for users is faster, more accurate and less expensive queries. Nvidia\u2019s VP of generative AI software, Kari Briski, told TechCrunch that she expects queries to be answered four times faster, with 20% fewer errors and 90% fewer tokens used.<\/p>\n

The system will be available to all of Box\u2019s Enterprise Advance customers, rolling out early next year.<\/p>\n

\u201cThis dramatically boosts both the relevance of our search technology<\/a> for agents,\u201d Box CEO Aaron Levie said. \u201cInstead of an agent having to kind of read through each document, we can send back chunks from the documents that are most relevant to the user\u2019s query or whatever the the task is that the agent is doing.\u201d<\/p>\n

The feature is an implementation of Nvidia\u2019s Nemotron Embed<\/a> project, which offers open-weight embedding models to improve automated retrieval systems. Major labs have often overlooked such models, which use LLMs to pre-process data so it can be better used by agents. The sector has been a focus for Nvidia\u2019s open-source model project, with its recent Nemotron release in July topping the RTEB benchmark, which measures retrieval quality.<\/p>\n

The system will be most useful when paired with active agents, Box says, giving the example of lawyers, who will ostensibly be able to find relevant clauses and precedents more easily under the new system. Because Nemotron\u2019s embeddings go beyond simple keywords to map underlying concepts, a search tool can surface related legal concepts even when different language is used.<\/p>\n

While the Nemotron models are freely available, the system also relies heavily on Box\u2019s pre-existing metadata and permission controls, making it challenging to recreate from scratch. \u201cwe\u2019re probably packing in five different technologies into one simple API,\u201d Levie told TechCrunch.<\/p>\n<\/div>\n

When you purchase through links in our articles, we may earn a small commission. This doesn\u2019t affect our editorial independence.<\/em><\/p>\n

If you liked the article, do not forget to share it with your friends. Follow us on\u00a0Google News<\/a><\/span>\u00a0too, click on the star and choose us from your favorites.<\/span><\/strong><\/p><\/blockquote>\n

\n

If you want to read more like this article, you can visit our Technology<\/a><\/span> category.<\/strong><\/p>\n<\/blockquote>\n

Source<\/a><\/span><\/p>\n","protected":false},"excerpt":{"rendered":"

At its developer conference on Thursday, Box showed off a new feature that will build Nvidia\u2019s Nemotron embedding system into the core of its product. Called Box Content Retrieval, the new feature allows agents to answer queries far more effectively by relying on the embedded metadata created by Nemotron.\u00a0 Box says the upshot for users…<\/p>\n","protected":false},"author":1,"featured_media":751596,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"fifu_image_url":"https:\/\/techcrunch.com\/wp-content\/uploads\/2024\/08\/GettyImages-1178603809.jpg?w=1024","fifu_image_alt":"","footnotes":""},"categories":[18],"tags":[77337,77134,143000],"class_list":["post-751595","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-technology","tag-ai","tag-nvidia","tag-box"],"_links":{"self":[{"href":"https:\/\/buradabiliyorum.com\/en\/wp-json\/wp\/v2\/posts\/751595","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/buradabiliyorum.com\/en\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/buradabiliyorum.com\/en\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/buradabiliyorum.com\/en\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/buradabiliyorum.com\/en\/wp-json\/wp\/v2\/comments?post=751595"}],"version-history":[{"count":0,"href":"https:\/\/buradabiliyorum.com\/en\/wp-json\/wp\/v2\/posts\/751595\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/buradabiliyorum.com\/en\/wp-json\/wp\/v2\/media\/751596"}],"wp:attachment":[{"href":"https:\/\/buradabiliyorum.com\/en\/wp-json\/wp\/v2\/media?parent=751595"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/buradabiliyorum.com\/en\/wp-json\/wp\/v2\/categories?post=751595"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/buradabiliyorum.com\/en\/wp-json\/wp\/v2\/tags?post=751595"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}