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Enhance your support, onboarding, and internal knowledge workflows with an intelligent RAG-powered chatbot that responds using live data stored in Google Sheets. š¤š Built for teams that rely on structured datasets, this workflow fetches sheet content, enriches it with AI reasoning, and produces precise, context-aware answers ā without requiring a full vector database setup.
Whether you're managing FAQs, product data, SOPs, or internal documentation, this automation keeps responses consistent, up-to-date, and always aligned with your source of truth. š
1ļøā£ Trigger ā Starts automatically or via manual execution to answer user queries.
2ļøā£ Extract ā Receives a question and fetches the relevant sheet ID and target range.
3ļøā£ Retrieve ā Pulls knowledge from your Google Sheet (FAQ list, product catalog, SOPs, etc.).
4ļøā£ Process ā Sends the question and sheet content to an AI model to perform Retrieval-Augmented Generation.
5ļøā£ Generate ā Creates a concise, accurate, context-grounded answer based on the sheet data.
6ļøā£ Output ā Returns a clean final response ready for apps, chatbots, or integrations.
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Guarantees answers that stay aligned with your internal documents
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Eliminates hallucinations using RAG-style grounding
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Works with any Google Sheet ā no database required
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Easy to extend into customer support, onboarding flows, or SOP assistants
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Fast, lightweight, and highly reliable for high-volume Q&A