This workflow creates an automated system for handling client FAQ requests by integrating Google Drive, LangChain language models, and webhooks within n8n. When a client submits a question via a webhook, the workflow searches for relevant files in Google Drive, extracts content, processes it through AI models, and returns a precise answer.

The process begins with the webhook node receiving a query. It then searches Google Drive folders for related files, downloads the relevant document, and extracts the content. The extracted information is formatted and fed into a LangChain-powered language model, specifically Azure OpenAI, to generate a coherent answer. The response is then sent back to the client via the respondToWebhook node.

This workflow is ideal for automating FAQ responses for customer support or knowledge management, particularly when FAQ data is stored in Google Drive and dynamically processed for accuracy and relevance.

Node Count	11 – 20 Nodes
Nodes Used	@n8n/n8n-nodes-langchain.chainLlm, @n8n/n8n-nodes-langchain.lmChatAzureOpenAi, extractFromFile, googleDrive, respondToWebhook, set, splitInBatches, stickyNote, webhook