Automate Perplexity AI research to instantly generate comprehensive knowledge base articles, eliminating manual effort while ensuring data-driven content quality.
This n8n workflow automates the creation of knowledge base articles by leveraging advanced AI research capabilities. It initiates the process by taking a topic or derived title, which is then fed into Perplexity AI's "sonar-deep-research" model via an HTTP request. Perplexity AI conducts an in-depth investigation into the specified subject, gathering comprehensive information. The research output from Perplexity AI is subsequently processed (likely using other nodes, including Langchain's agents and chat models, given the node list) to structure and format a complete and informative knowledge base article. This workflow significantly streamlines content creation, enabling rapid generation of well-researched articles for support documentation, FAQs, or internal knowledge repositories, minimizing manual effort and ensuring high-quality, data-driven content.
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Complete setup guide
Automate Perplexity AI research to instantly generate comprehensive knowledge base articles, eliminating manual effort while ensuring data-driven content quality.
Click the "Download Workflow" button above to get the JSON file.
In your n8n instance, go to Workflows → Import and select the JSON file.
Set up your Http Request and other service credentials in n8n.
Activate the workflow and test it to ensure everything works correctly.
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