Web Retrieval

High-speed search infrastructure built specifically for AI agents to fetch live, verified data from the open web.

Web retrieval bridges the gap between an LLM's training cutoff and the current moment. By utilizing APIs like Tavily or Exa, agents execute targeted queries to extract precise facts (current market rates, API updates, or local weather) while discarding 95% of useless page metadata. This architecture relies on semantic ranking to ensure the top 5 results are contextually relevant for the prompt. It effectively eliminates hallucinations: the model cites specific sources instead of guessing from stale weights.

https://tavily.com