📊 Description 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. 🚀 What This Template Does 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. Key Benefits ✅ 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 Features Google Sheets integration for real-time document retrieval OpenAI (or any LLM) prompt-based reasoning RAG-style answer generation without vector embeddings Modular design for easy reuse in other workflows Clean JSON output suitable for chat interfaces or APIs Requirements Google Sheets OAuth2 credentials OpenAI API key or any compatible LLM provider Question input (from webhook, chatbot, form, CRM, etc.) Target Audience Support teams responding to repetitive customer FAQs 💬 Operations teams managing SOP-based workflows 📘 Product teams needing accurate data-driven responses 📊 Agencies building custom AI assistants for clients 🤝 Internal helpdesk automations for teams 🛠️