A practical guide to using web search APIs for AI agents, RAG systems, and applications that need fresh information from the web.
Web Search APIs enable LLMs to fetch real-time web data, solving knowledge cutoff for queries on pricing, launches, market news, and API changes. For tech teams: better relevance cuts token costs; agents reason over fresh sources with citations.
TL;DR
A Web Search API gives AI applications programmatic access to current information from the web.
It is useful when an LLM needs information that changes frequently, such as news, pricing, documentation, product launches, or company updates.
A typical workflow looks like:
User Query
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