Real‑time search refers to search engines that provide up‑to‑date information by retrieving current content from the web and other data sources beyond their static training data.
Real-time search delivers current information by tapping into live web content, news feeds, and dynamic data sources. AI-powered search platforms such as Perplexity leverage this technology to surface fresh information that extends beyond the limitations of their original training datasets.
This functionality proves essential for delivering precise, timely insights on emerging events, developing news stories, and fast-evolving subjects that weren't captured during the AI model's initial training phase.