Web Search

How the Web Search tool works in Qolaba, what it retrieves, and when to use it.

The Web Search tool enables the chatbot to retrieve live, real-time information from the internet before generating a response — grounding answers in current data rather than the model's training cutoff.


What It Does

When Web Search is enabled, the model actively searches the web based on your prompt and incorporates retrieved information into its response. All tool-enabled LLMs in Qolaba have built-in web search — meaning you stay on your selected model and get live results without being switched to a different provider.

This is particularly useful for:

  • News and current events

  • Market trends and competitor research

  • Live product comparisons and pricing

  • Regulatory updates and policy changes

  • Any query where up-to-date accuracy matters


How to Enable It

Toggle Web Search on in the Toolkit panel before sending your prompt. The model will retrieve relevant web results and use them as context when generating its response.

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Use Web Search alongside a Knowledge Base for tasks that need both your internal documents and live external data — for example, comparing your internal strategy against current market conditions.

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