This n8n workflow automates complex web search and semantic ranking to deliver highly relevant search results for user queries. It begins by setting up API access for Brave Search, then processes user input via webhook, and generates optimized search queries through an advanced query maker. The workflow triggers a Brave web search, ranks results semantically using AI-powered language models (such as OpenAI’s GPT-4 and Anthropic Claude), and extracts key information. The results are ranked and structured for easy interpretation, culminating in a response that returns the top-ranked URLs and insights. Practical applications include research support, market analysis, trend tracking, and knowledge discovery, making it ideal for content creators, researchers, and data analysts aiming to streamline web content curation automatically.
Automated Semantic Web Search and Re-Ranking Workflow
| Node Count | 11 – 20 Nodes |
|---|---|
| Nodes Used | @n8n/n8n-nodes-langchain.chainLlm, @n8n/n8n-nodes-langchain.lmChatAnthropic, @n8n/n8n-nodes-langchain.lmChatGoogleGemini, @n8n/n8n-nodes-langchain.lmChatOpenAi, @n8n/n8n-nodes-langchain.outputParserAutofixing, @n8n/n8n-nodes-langchain.outputParserStructured, code, dateTime, httpRequest, respondToWebhook, stickyNote, webhook |
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