IT Support AI Chatbot n8n Workflow: Google Drive + Pinecone

Turn your IT support docs into an instant AI helpdesk—automatically

This IT Support AI Chatbot n8n Workflow uses Google Drive and Pinecone to convert static support documents into an interactive, searchable knowledge base. When employees ask questions, your chatbot retrieves the most relevant document sections and responds with context-aware answers using a Chat AI agent (Google Gemini / OpenRouter).

What this workflow does

• Ingests and indexes new documents: A Google Drive Trigger watches a specified folder for new uploads (e.g., updated support articles, guides, or internal docs).
• Downloads and extracts text: New files are automatically downloaded and their text content is extracted for processing.
• Cleans and splits content: A Code node removes line breaks, trims extra spaces, and strips special characters, then uses a text splitter to divide the content into manageable chunks.
• Embeds and stores for fast search: The workflow generates text embeddings using Google Gemini and stores them in a Pinecone vector store to enable similarity-based retrieval.
• Answers employee questions in real time: A separate chat workflow starts when a user submits a query, performs vector search in Pinecone, and retrieves top matching document segments.
• Builds a detailed prompt and generates the response: A Code node combines retrieved snippets with the employee’s question into a prompt, then the AI agent returns a context-aware answer.

Use cases

• Resolve common IT requests (password resets, access issues, device setup) by searching your latest support documentation.
• Keep answers up to date automatically when new files are uploaded to Google Drive.
• Reduce support ticket volume by providing instant, documentation-backed responses to internal staff.

Technical details

• Integrations: Google Drive, Pinecone
• AI components: Embeddings via Google Gemini; Chat AI agent via Google Gemini / OpenRouter
• n8n nodes used: google drive trigger, extract from file, code, n8n-nodes-langchainagent, n8n-nodes-langchainchat trigger