Nimble claims its new, domain-specialized Web Search Agents cut token costs in half while boosting retrieval accuracy
AI Summary
Nimble has launched its new Web Search Agents, claiming to cut token costs in half while improving retrieval accuracy by 21%. This innovation aims to enhance web searching for enterprises by utilizing multiple AI agents to automate and refine the research process.
From the source
Nimble, a New York City-based tech startup VentureBeat previously covered for its efforts to re-invent web search for enterprises by using multiple AI agents to improve accuracy and depth, is taking another step toward its vision of a world in which agents do most of the web searching instead of us typing and reviewing the results manually. Nimble today launched Web Search Agents, a new retrieval system designed to help AI agents perform more 21% more accurate web research while using significa
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