Automated FAQ Draft Completion with AI and Vtiger CRM

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This n8n workflow automates the process of managing FAQ entries in Vtiger CRM by leveraging AI to generate answers for draft FAQs. Running every minute, the workflow fetches the latest draft FAQ, uses DeepSeek’s language model via LangChain to craft a plain-text answer, and then automatically updates the FAQ in CRM to mark it as ‘Published’. This automation significantly speeds up knowledge base updates, reduces manual effort, and ensures timely publication of FAQ answers.

The workflow begins with a scheduled trigger set to run every minute. It queries Vtiger CRM to retrieve the most recent FAQ marked as ‘Draft’. If a draft is found, the workflow sends the question to the AI agent powered by DeepSeek and LangChain, which generates a coherent answer in plain text. The answer is stored using a memory buffer for context and then used to update the original FAQ in Vtiger, changing its status to ‘Published’ with the generated response. Additionally, a sticky note node provides a descriptive summary of the automation for documentation or team reference.

This workflow is particularly useful for support teams or knowledge managers who want to automate the process of answering FAQ drafts, ensuring faster content updates and consistency in responses.

Node Count

6 – 10 Nodes

Nodes Used

@n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.lmChatDeepSeek, @n8n/n8n-nodes-langchain.memoryBufferWindow, if, n8n-nodes-vtiger-crm.vtigerNode, scheduleTrigger, stickyNote

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