perplexity-search

To get real-time web search results with citations, you can query Perplexity models through OpenRouter to retrieve source-grounded answers. This provides source citations for current-information lookups and literature discovery across biomedical, chemistry, and technology domains.

Yes, you need a single OpenRouter API key to access Perplexity models. You must also have LiteLLM installed in your environment to execute the perplexity_search.py CLI script for performing real-time web queries.

Yes, Perplexity models are suitable for literature discovery and verification across biomedical, chemical, and clinical domains. The real-time web querying grounds answers with current sources, reducing reliance on static model knowledge for domain-specific research.

The best way to compare them is by selecting different models like sonar-pro, sonar, or sonar-reasoning-pro for complex analyses. This flexible model selection allows you to evaluate source-grounded answers and determine which model best suits your verification needs.

Real-time web grounding queries the live web to retrieve current information and cite sources, whereas static model knowledge relies on pre-trained data. This approach is essential for rapid fact-checking and current-information lookups where up-to-date evidence is required.