Buy One Founder Summit Ticket, Get a Second for Free. Register now.
Founder Summit begins Nov. 4, 9:00 a.m. ET. Get your pass savings & deals before it starts. REGISTER HERE.
Box taps Nvidia’s Nemotron for new agent-first content retrieval system
At its developer conference on Thursday, Box showed off a new feature that will build Nvidia’s 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.
Box says the upshot for users is faster, more accurate and less expensive queries. Nvidia’s 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.
The system will be available to all of Box’s Enterprise Advance customers, rolling out early next year.
“This dramatically boosts both the relevance of our search technology for agents,” Box CEO Aaron Levie said. “Instead 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’s query or whatever the task is that the agent is doing.”
The feature is an implementation of Nvidia’s Nemotron Embed 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’s open-source model project, with its recent Nemotron release in July topping the RTEB benchmark, which measures retrieval quality.
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’s embeddings go beyond simple keywords to map underlying concepts, a search tool can surface related legal themes even when different wording or language is used.
While the Nemotron models are freely available, the system also relies heavily on Box’s pre-existing metadata and permission controls, which will make it challenging to recreate from scratch. “We’re probably packing in five different technologies into one simple API,” Levie told TechCrunch.
When you purchase through links in our articles, we may earn a small commission . This doesn’t affect our editorial independence.
Buy One Pass, Get a Second Free Cover more ground at TechCrunch’s ultimate founder bootcamp of the year by bringing your co-founder or partner for free Book before the BOGO deal expires
Most Popular
Data centers are turning to old jet engines as the wait for power grows Aditya Mehta
New York City’s Mamdani criticizes Madison Square Garden owner over surveillance tech Zack Whittaker
Anthropic warns that it’s very close to RSI capability, aka self-building AI Julie Bort
New York Times and other outlets sue web browser Brave over alleged content scraping Rebecca Bellan
Ninja’s first-ever microwave just replaced two of my kitchen appliances at once Lauren Forristal
Anthropic expected to receive high ‘junk’ rating from credit agencies following IPO, FT report says Lucas Ropek
Google’s first data center satellite is online and writing poetry Tim Fernholz