A practical guide for using SERP data as a search layer for AI agents, with Python examples and structured JSON output.
So you’re building an AI agent.
At first, everything feels simple. The user asks a question, the model thinks, and the agent returns an answer.
Then you hit the obvious problem:
The agent needs fresh information.
Maybe it needs today’s search results.
Search results look simple from the outside. You type a keyword into Google, Bing, or another search...
In today's landscape where AI applications (especially RAG architectures and AI Agents) are...
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