AI RAG Q&A Chatbot: OpenAI, Sheets, Glide & Supabase

This n8n workflow automates a sophisticated Retrieval-Augmented Generation (RAG) Q&A chatbot. It starts with a webhook trigger receiving user questions from a Glide app frontend. The workflow fetches historical Q&A data (including optional image URLs) from a Google Sheet, uses OpenAI embeddings to rank the relevance of stored questions to the new query, and passes top matches to GPT-4 for generating accurate, contextual answers.

Key benefits include reduced hallucination in AI responses through RAG, seamless no-code integration of multiple services, and easy scalability for customer support or knowledge bases. It saves hours of manual Q&A handling by automating relevance ranking and response generation, with support for media-rich replies.

Ideal use cases: Internal knowledge bases for teams, customer support chatbots in Glide apps, FAQ systems for websites, or educational Q&A tools. Prerequisites include OpenAI API keys, Google Sheets credentials, and the @n8n/n8n-nodes-openai-embeddings community node. Setup involves importing the JSON, configuring credentials, and linking your Glide webhook.