AI LinkedIn Post Generator from Books via OpenAI, LangChain & Pinecone
Automates generating engaging LinkedIn posts from book PDFs using AI embeddings, vector search, and LangChain agents. Integrates Google Drive, Sheets, and scheduled publishing for hands-free marketing.
This advanced n8n workflow transforms book PDFs into professional LinkedIn posts by watching a Google Drive folder for new files, extracting text, splitting into chunks, embedding with OpenAI, and storing in Pinecone vector database. A LangChain agent then queries the database to generate 5 post ideas with hooks, insights, and CTAs, which are refined into concise, emoji-rich posts under 600 characters.
Posts are saved to a Google Sheet for review and status tracking, with a daily scheduler automatically publishing unpublished ones to LinkedIn and updating statuses. This setup saves hours of manual content creation, ensuring consistent, high-quality social media output from book knowledge.
Ideal for authors, marketers, coaches, and thought leaders leveraging books for personal branding. Benefits include scalable content repurposing, AI-driven relevance via vector search, and seamless automation across Drive, AI tools, Sheets, and LinkedIn—boosting engagement without daily effort.
New buyers can create an account from the cart to unlock a controlled $10 first-purchase credit on eligible orders of $25+.
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How to import this workflow into n8n
- 1Purchase or download the workflow to get the n8n workflow JSON file.
- 2In your n8n instance, open Workflows and choose "Import from File" (or paste the JSON with Ctrl+V on the canvas).
- 3Open each node marked with a credential warning and connect your own accounts and API keys.
- 4Run the workflow once manually to verify the data flow, then toggle it to Active.
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