This comprehensive n8n workflow automates the process of monitoring RSS feeds for relevant articles using AI. It periodically checks specified RSS feeds, classifies articles based on relevance to targeted topics such as AI and data science, and then extracts content from relevant articles using Jina AI. The workflow summarizes these articles with OpenAI’s GPT-4 and posts the concise summaries in a Slack channel for easy team access. Additionally, it maintains a Google Sheets database with monitored articles, avoiding duplicates and tracking article details. This setup is ideal for industry professionals, research teams, and companies who want to stay updated on specific topics in an efficient and automated manner.
AI-Powered RSS Article Monitoring & Summarization
Node Count | >20 Nodes |
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Nodes Used | @n8n/n8n-nodes-langchain.chainLlm, @n8n/n8n-nodes-langchain.lmChatOpenAi, @n8n/n8n-nodes-langchain.textClassifier, code, googleSheets, httpRequest, if, noOp, rssFeedRead, scheduleTrigger, set, slack, stickyNote |
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