Best Practices for Prompting Web Search Models

A shared folder with AI prompts and code snippets

From workspace: Perplexity

Team: Main

Total snippets: 4

Perplexity

Best Practices for Prompting Web Search Models

4 snippets

Provide Relevant Context

Include critical context to guide the web search toward the most relevant content, but keep prompts concise and focused. ✅ Good Example: “Explain the impact of the 2023 EU digital markets regulations on app store competition for small...

Think Like a Web Search User

Craft prompts with search-friendly terms that would appear on relevant web pages. Consider how experts in the field would describe the topic online. ✅ Good Example: “Compare the energy efficiency ratings of heat pumps vs. traditional HVAC systems...

Avoid Few-Shot Prompting

While few-shot prompting works well for traditional LLMs, it confuses web search models by triggering searches for your examples rather than your actual query. ✅ Good Example: “Summarize the current research on mRNA vaccine technology” ❌ Poor...

Be Specific and Contextual

Unlike traditional LLMs, our web search models require specificity to retrieve relevant search results. Adding just 2-3 extra words of context can dramatically improve performance. ✅ Good Example: “Explain recent advances in climate prediction...

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