Automate CTO Onboarding and Knowledge Management with n8n
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Streamline the onboarding of new CTOs by automating the ingestion, processing, and knowledge extraction from relevant documents. This workflow leverages AI to build a searchable knowledge base and facilitates communication through Slack and data updates in Google Sheets.
About This Workflow
This n8n workflow is designed to revolutionize how your organization handles the onboarding of new Chief Technology Officers (CTOs) and continuously updates your internal knowledge base. It starts by monitoring a Google Drive folder for new documents. Upon detection, files are downloaded, processed for relevant text using a default data loader, and then split into manageable chunks for AI processing. Azure OpenAI is utilized for embedding these text chunks, which are then stored in a Pinecone vector store, creating a powerful, searchable knowledge repository. An AI agent then leverages this knowledge to answer questions or perform tasks. The workflow also integrates with Google Sheets to update relevant data and sends notifications to Slack, ensuring key stakeholders are informed. This end-to-end automation significantly reduces manual effort, accelerates knowledge discovery, and ensures your CTO has immediate access to critical information.
Key Features
- Automated Document Ingestion: Trigger workflows automatically when new files are added to a designated Google Drive folder.
- AI-Powered Knowledge Base: Utilize Azure OpenAI embeddings and Pinecone vector stores to create a semantic, searchable knowledge base from your documents.
- Intelligent Document Processing: Employ Langchain components to effectively load, split, and process text from various document types.
- Seamless Integration: Connect with Google Sheets for data updates and Slack for real-time notifications and communication.
- Dynamic Agentic Capabilities: Leverage AI agents to interact with the knowledge base, answer questions, and perform contextual tasks.
How To Use
- Configure Google Drive Trigger: Set up the
Google Drive Triggernode to monitor a specific folder for new files. - Download and Extract: Use the
Download fileandExtract from Filenodes to retrieve and process the content of the triggered documents. - Process Document Content: Employ the
Default Data LoaderandRecursive Character Text Splitternodes to prepare text for AI processing. - Create Embeddings and Vector Store: Configure
Embeddings Azure OpenAIto generate vector embeddings andPinecone Vector Storeto store them. - Build AI Agent: Set up the
AI Agentnode, connecting it to theAzure OpenAI Chat ModelandPinecone Vector Storeto enable intelligent querying and task execution. - Integrate with Tools: Configure nodes like
Append or update row in sheetfor Google Sheets updates andSend a message1for Slack notifications to keep stakeholders informed.
Apps Used
Workflow JSON
{
"id": "ddcd2ab4-0887-496b-84af-5d6db91a1410",
"name": "Automate CTO Onboarding and Knowledge Management with n8n",
"nodes": 20,
"category": "Operations",
"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: ddcd2ab4-0887...
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