This workflow automates the process of cross-posting YouTube uploads to Facebook. When a new YouTube video is uploaded, the workflow triggers via a webhook. It then processes and analyzes the video content by splitting the associated text, generating embeddings using OpenAI, and storing these vectors in Pinecone. The workflow includes querying and managing vector data, utilizing a language model for intelligent handling, and interacting with a re-activation and memory management system. Ultimately, it logs the process status in Google Sheets and sends error alerts to Slack if any issues occur. This automation streamlines content distribution, enhances content analysis, and provides real-time notifications, making it useful for content creators, social media managers, and digital marketers aiming for efficient multi-platform posting and insight gathering.
Automated Cross-Posting from YouTube to Facebook
Node Count | 11 – 20 Nodes |
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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.vectorStorePinecone, googleSheets, slack, stickyNote, webhook |
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