Enhance your support, onboarding, and internal knowledge workflows with an intelligent RAG-powered chatbot that responds using live data stored in Google Sheets. 🤖📚 Built for teams that rely on structured datasets, this workflow fetches sheet content, enriches it with AI reasoning, and produces precise, context-aware answers — 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. 🚀
1️⃣ Trigger – Starts automatically or via manual execution to answer user queries.
2️⃣ Extract – Receives a question and fetches the relevant sheet ID and target range.
3️⃣ Retrieve – Pulls knowledge from your Google Sheet (FAQ list, product catalog, SOPs, etc.).
4️⃣ Process – Sends the question and sheet content to an AI model to perform Retrieval-Augmented Generation.
5️⃣ Generate – Creates a concise, accurate, context-grounded answer based on the sheet data.
6️⃣ Output – Returns a clean final response ready for apps, chatbots, or integrations.
✅ Guarantees answers that stay aligned with your internal documents
✅ Eliminates hallucinations using RAG-style grounding
✅ Works with any Google Sheet — no database required
✅ Easy to extend into customer support, onboarding flows, or SOP assistants
✅ Fast, lightweight, and highly reliable for high-volume Q&A
