Perplexity Researcher

Perplexity Researcher automates the process of gathering and formatting user queries, sending them to the Perplexity AI Sonar model for comprehensive search results. It extracts and returns clean, relevant content, enabling users to efficiently access in-depth materials for their research needs.

7/8/2025
5 nodes
Simple
manualsimpleexecuteworkflowtriggersticky noteapiintegration
Categories:
Manual TriggeredSimple WorkflowBusiness Process Automation
Integrations:
ExecuteWorkflowTriggerSticky Note

Target Audience

  • Researchers looking for in-depth materials on specific topics.
    - Students needing assistance with writing sections of their assignments.
    - Content Creators who require up-to-date information for articles or blogs.
    - Professionals seeking quick access to relevant data for presentations or reports.

    • Problem Solved

    This workflow addresses the challenge of efficiently gathering and processing information related to user queries, enabling users to access relevant content quickly and effectively. It minimizes the time spent searching for information by automating the retrieval and formatting of responses.

    Workflow Steps

  • Triggering the Workflow: The workflow is manually triggered by another workflow, initiating the process.
    2. Setting Prompt Variables: It defines a system prompt and captures the user's query, preparing the inputs for the API call.
    3. Making API Call: The workflow sends a POST request to the Perplexity AI Sonar model, including the system prompt and user query, to retrieve relevant information.
    4. Extracting API Response: The response from the API is parsed to extract the main content, which contains the information requested by the user.
    5. Output: The final response is formatted and returned, providing users with clean and concise output based on their queries.

    • Customization Guide

  • Modify System Prompt: Users can change the System variable to adjust how the AI responds to queries, tailoring it to specific needs or styles.
    - Adjust API Parameters: Users can customize parameters like max_tokens, temperature, and top_p in the API request to influence the response length and creativity.
    - Change Query Input: Users can adapt the User variable to accept different types of input or queries, ensuring flexibility in how information is requested.
    - Integrate Additional Nodes: Users can add more nodes to the workflow for further processing or to connect with other systems, enhancing functionality.