This n8n workflow is designed to automate the process of conducting targeted web searches, ranking the results based on relevance, and extracting key information for research or information retrieval purposes. It begins with setting up a free API key for Brave Web Search, then uses a webhook to receive user queries. The workflow generates a refined search query through semantic analysis using language models, performs the web search, and processes results with an intelligent ranking system that assesses relevance and content quality. The final step involves extracting and structuring the most pertinent information from the top search results, which are then sent back to the user via webhook in a clear, organized format. This workflow is highly practical for research teams, content creators, or anyone needing streamlined, relevance-optimized web content retrieval and analysis.
Automated Semantic Web Search & 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 |
Reviews
There are no reviews yet.