perplexity-search-skill

Perplexity Search Skill

Search the web using Perplexity's Sonar AI models. Unlike traditional search engines that return links, Perplexity provides synthesized AI-generated answers with inline citations and source URLs.

How It Works

This skill provides instructions and context. To execute searches, connect the Perplexity Search node to the agent's input-tools handle.

perplexity_search Tool

Ask a question and get an AI-synthesized answer with citations.

Schema Fields

Node Parameters

Additional options configured on the node:

Response Format

{
  "query": "What are the latest developments in quantum computing?",
  "answer": "Recent developments in quantum computing include several significant breakthroughs. **Google's Willow chip** demonstrated error correction below the threshold needed for reliable quantum computation [1]. **IBM** released its 1,121-qubit Condor processor [2], while **Microsoft** announced a new topological qubit approach [3].\n\nKey areas of progress:\n- Error correction advances\n- Increased qubit counts\n- New materials and architectures\n- Growing commercial applications",
  "citations": [
    "https://blog.google/technology/research/quantum-computing-willow/",
    "https://research.ibm.com/blog/condor-processor",
    "https://azure.microsoft.com/en-us/blog/quantum/"
  ],
  "results": [
    {"url": "https://blog.google/technology/research/quantum-computing-willow/"},
    {"url": "https://research.ibm.com/blog/condor-processor"},
    {"url": "https://azure.microsoft.com/en-us/blog/quantum/"}
  ],
  "model": "sonar",
  "provider": "perplexity",
  "images": [],
  "related_questions": [
    "What is quantum error correction?",
    "How many qubits does a useful quantum computer need?"
  ]
}