This n8n workflow automates the process of monitoring Reddit posts for new upvotes and triggers alerts based on the activity. It begins with a webhook trigger that receives data from Reddit, processes the content through text splitting and embeddings, and stores the data in a Weaviate vector database. The workflow also performs similarity searches within the vector store to analyze the relevance of new data against stored information. Using a language model and a Retrieval-Augmented Generation (RAG) approach, it generates contextual responses about the Reddit content, logs the status in Google Sheets, and sends error notifications via Slack if needed. This workflow is ideal for social media monitoring, reputation management, or content analysis tasks where timely insights into Reddit activity are crucial.
Reddit Upvote Monitoring and Alert Workflow
Node Count | 11 – 20 Nodes |
---|---|
Nodes Used | @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.embeddingsOpenAi, @n8n/n8n-nodes-langchain.lmChatAnthropic, @n8n/n8n-nodes-langchain.memoryBufferWindow, @n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter, @n8n/n8n-nodes-langchain.toolVectorStore, @n8n/n8n-nodes-langchain.vectorStoreWeaviate, googleSheets, slack, stickyNote, webhook |
Reviews
There are no reviews yet.