ExaAILabs announces the integration of large language models with Exa Search to achieve state-of-the-art agent search performance

ME News Report, April 21 (UTC+8), ExaAILabs recently announced that by combining cutting-edge large language models with dozens of calls to Exa Search, the company has achieved state-of-the-art performance in agent search evaluation. According to their statement, this achievement is due to parallel tool calls for different information clusters, resulting in 20 times faster latency. The original article includes a link to more information. (Source: InFoQ)