This n8n workflow automates the collection, analysis, and summarization of the latest technology news from multiple RSS feeds and online sources. Designed for information curation, it gathers news from sources like ScienceDaily, TechRepublic, Hacker News, and more, filtering out irrelevant or repetitive content. The workflow uses AI models, specifically the Mistral Cloud Chat Model, to analyze article titles, generate concise summaries, and identify the top trending news based on relevance and recency. It further fetches full webpage content for selected articles, summarizes the content, and compiles a comprehensive digest. This system is ideal for tech bloggers, news aggregators, or anyone wanting to stay updated with minimal manual effort.
AI-Powered Tech News Summary Workflow
| Node Count | >20 Nodes |
|---|---|
| Nodes Used | @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.lmChatMistralCloud, @n8n/n8n-nodes-langchain.outputParserStructured, aggregate, executeWorkflow, filter, httpRequest, markdown, merge, n8n-nodes-duckduckgo-search.duckDuckGo, rssFeedRead, scheduleTrigger, set, splitOut, stickyNote |
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