This n8n workflow automates the process of curating and sending a personalized tech newsletter by aggregating news from popular RSS feeds, creating semantic embeddings with OpenAI, and summarizing relevant content for weekly delivery. The workflow begins with a daily trigger fetching news articles from multiple tech sources, normalizes and stores them in a vector database, and uses AI models to retrieve and summarize the most pertinent news based on user interests. Every week, a scheduled trigger activates the summarization and email delivery process, providing a concise and customized newsletter. This setup is ideal for tech enthusiasts and professionals who want to stay informed effortlessly.
Automated Personalized Tech Newsletter with RSS and AI
Node Count | >20 Nodes |
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Nodes Used | @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.documentDefaultDataLoader, @n8n/n8n-nodes-langchain.embeddingsOpenAi, @n8n/n8n-nodes-langchain.lmChatOpenAi, @n8n/n8n-nodes-langchain.textSplitterRecursiveCharacterTextSplitter, @n8n/n8n-nodes-langchain.vectorStoreInMemory, gmail, markdown, rssFeedRead, scheduleTrigger, set, splitOut, stickyNote |
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