Automate LinkedIn Post Ideas from Your Bookshelf
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Transform your favorite books into engaging LinkedIn content automatically. This workflow extracts key insights from PDFs, stores them in a vector database, and generates tailored LinkedIn post ideas using AI.
About This Workflow
Unlock a new level of content marketing by leveraging your existing knowledge base. This n8n workflow seamlessly integrates with Google Drive and AI models to extract valuable insights from PDF books. It monitors a designated Google Drive folder for new or updated PDF files. Upon detection, it downloads the file, extracts text, and processes it into meaningful chunks. These chunks are then embedded using OpenAI and stored in a Pinecone vector database, indexed by the book's filename. Finally, an AI agent queries this database to generate creative and thought-provoking LinkedIn post ideas, complete with hooks, insights, and calls to action. This solution automates the often time-consuming process of content ideation, allowing you to consistently share valuable knowledge on LinkedIn.
Key Features
- Automated PDF to Insight Extraction: Effortlessly pull text and key information from PDF documents.
- Intelligent Content Indexing: Stores book content in a searchable Pinecone vector database for quick retrieval.
- AI-Powered LinkedIn Idea Generation: Leverages advanced AI to create engaging post ideas tailored to professional audiences.
- Real-time Google Drive Monitoring: Automatically triggers workflows when new book PDFs are added or updated.
- Customizable AI Prompting: Fine-tune the AI's output with specific system messages and prompt templates.
How To Use
- Configure Google Drive Trigger: Set up the
Google Drive Triggernode to watch a specific folder (e.g., 'LinkedinPosts') in your Google Drive. Set the event to 'fileUpdated' and choose a polling interval (e.g., 'everyMinute'). - Set Up Google Drive Credentials: Authenticate your Google Drive account using the provided credentials.
- Connect Google Drive Download: The
DownLoadPdfnode will automatically download the detected PDF file using its ID. - Extract Text: The
Extract from Filenode processes the downloaded PDF to extract its text content. - Configure Pinecone Vector Store: Set up the
Pinecone Vector Storenode with your Pinecone API credentials and select your target index (e.g., 'linkdenpost-new'). Ensure the namespace is dynamically set using the downloaded file's name (=$('DownLoadPdf').item.json.name). - Set Up OpenAI Embeddings: Connect your OpenAI API credentials to the
Embeddings OpenAInode. - Configure Default Data Loader & Text Splitter: Use the
Default Data LoaderandRecursive Character Text Splitternodes to prepare the extracted text for embedding. AdjustchunkOverlapin the text splitter as needed. - Set Up OpenAI Chat Model: Configure the
OpenAI Chat Modelnode with your OpenAI API credentials and select your preferred model (e.g., 'gpt-4o'). - Configure LinkedIn Post Idea Generation: In the
LinkedIn Post Idea Generationnode, set thetextparameter to reference the original filename of the book (Name of the book: {{ $('Google Drive Trigger').item.json.originalFilename }}). Customize thesystemMessageandpromptwithin this node to guide the AI's output for LinkedIn post ideas.
Apps Used
Workflow JSON
{
"id": "f3f45ee0-8348-43e6-b0d7-7ae29a0d1834",
"name": "Automate LinkedIn Post Ideas from Your Bookshelf",
"nodes": 7,
"category": "Marketing",
"status": "active",
"version": "1.0.0"
}Note: This is a sample preview. The full workflow JSON contains node configurations, credentials placeholders, and execution logic.
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ID: f3f45ee0-8348...
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